Triple
T15139675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lelystad Airport |
E361650
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LEY
LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
|
E1139512
|
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: LEY | Statement: [Lelystad Airport, IATAcode, LEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEY Context triple: [Lelystad Airport, IATAcode, LEY]
-
A.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
B.
lei
The leu (plural: lei) is the official currency of Romania, used for everyday transactions and financial operations throughout the country.
-
C.
Lawa-an
Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
D.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
E.
LEG
LEG is the commonly used abbreviation for the Faculty of Law, Economics and Governance at Utrecht University, which combines legal, economic and governance disciplines.
- 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: LEY Triple: [Lelystad Airport, IATAcode, LEY]
Generated description
LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEY Target entity description: LEY is the IATA airport code for Lelystad Airport, a regional airport in the Netherlands.
-
A.
Ley
Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
-
B.
lei
The leu (plural: lei) is the official currency of Romania, used for everyday transactions and financial operations throughout the country.
-
C.
Lawa-an
Lawa-an is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
D.
The Law
The Law is a 1974 American television film, written by Joel Oliansky, that offers a dramatic, behind-the-scenes look at the workings of the criminal justice system.
-
E.
LEG
LEG is the commonly used abbreviation for the Faculty of Law, Economics and Governance at Utrecht University, which combines legal, economic and governance disciplines.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c46a248190a2364092d40274f3 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfec3ae48190b2d8e853dab00777 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec0c97f4c819084ba9eb2d8f69ceb |
completed | May 9, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec13ccea48190aeb155af012478b8 |
completed | May 9, 2026, 5:08 a.m. |
Created at: April 10, 2026, 3:07 a.m.