Triple
T8939095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmington International Airport |
E212851
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ILM
ILM is the IATA airport code for Wilmington International Airport, a commercial airport serving Wilmington, North Carolina.
|
E767351
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ILM | Statement: [Wilmington International Airport, IATAcode, ILM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ILM Context triple: [Wilmington International Airport, IATAcode, ILM]
-
A.
ILM
ILM (Industrial Light & Magic) is a pioneering visual effects and virtual production company renowned for its groundbreaking work in film and television.
-
B.
Skillset Film Skills Fund
Skillset Film Skills Fund is a UK-based initiative focused on developing and supporting professional skills and training within the British film industry.
-
C.
ILC
The International Law Commission (ILC) is a United Nations body of legal experts tasked with developing and codifying international law.
-
D.
ILC
ILC is the commonly used abbreviation for the International Labour Conference, the annual policy-making body of the International Labour Organization that sets international labor standards.
-
E.
Ilm
The Ilm is a river in the German state of Thuringia that flows through the historic city of Weimar and is known for its picturesque landscapes and cultural associations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ILM Triple: [Wilmington International Airport, IATAcode, ILM]
Generated description
ILM is the IATA airport code for Wilmington International Airport, a commercial airport serving Wilmington, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ILM Target entity description: ILM is the IATA airport code for Wilmington International Airport, a commercial airport serving Wilmington, North Carolina.
-
A.
ILM
ILM (Industrial Light & Magic) is a pioneering visual effects and virtual production company renowned for its groundbreaking work in film and television.
-
B.
Skillset Film Skills Fund
Skillset Film Skills Fund is a UK-based initiative focused on developing and supporting professional skills and training within the British film industry.
-
C.
ILC
The International Law Commission (ILC) is a United Nations body of legal experts tasked with developing and codifying international law.
-
D.
ILC
ILC is the commonly used abbreviation for the International Labour Conference, the annual policy-making body of the International Labour Organization that sets international labor standards.
-
E.
Ilm
The Ilm is a river in the German state of Thuringia that flows through the historic city of Weimar and is known for its picturesque landscapes and cultural associations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b7484481909e0d7610552f5386 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1eb308c81909f5be133c75ad568 |
completed | April 3, 2026, 1:34 p.m. |
| NEDg | Description generation | batch_69cfc24b4fe481909b7c4f58b787a21e |
completed | April 3, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfc33fbedc8190a8f04ec6f43891f0 |
completed | April 3, 2026, 1:40 p.m. |
Created at: March 30, 2026, 6:58 p.m.