Triple
T2464939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinburgh Airport |
E55224
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
EDI
EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
|
E270332
|
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: EDI | Statement: [Edinburgh Airport, IATAcode, EDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDI Context triple: [Edinburgh Airport, IATAcode, EDI]
-
A.
IFS
IFS is the acronym for the Indian Foreign Service, the elite diplomatic corps of India responsible for managing the country’s external affairs and international relations.
-
B.
DCOM
DCOM (Distributed Component Object Model) is a Microsoft technology that extends COM to support communication among software components over a network, enabling distributed, component-based applications.
-
C.
DocSend
DocSend is a document-sharing and tracking platform designed for securely sending files and gaining analytics on how recipients engage with them.
-
D.
FEC
FEC is the independent U.S. regulatory agency responsible for enforcing federal campaign finance laws and overseeing the financing of elections for federal office.
-
E.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
- 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: EDI Triple: [Edinburgh Airport, IATAcode, EDI]
Generated description
EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EDI Target entity description: EDI is the three-letter IATA airport code for Edinburgh Airport, the main international airport serving Scotland’s capital city.
-
A.
IFS
IFS is the acronym for the Indian Foreign Service, the elite diplomatic corps of India responsible for managing the country’s external affairs and international relations.
-
B.
DCOM
DCOM (Distributed Component Object Model) is a Microsoft technology that extends COM to support communication among software components over a network, enabling distributed, component-based applications.
-
C.
DocSend
DocSend is a document-sharing and tracking platform designed for securely sending files and gaining analytics on how recipients engage with them.
-
D.
FEC
FEC is the independent U.S. regulatory agency responsible for enforcing federal campaign finance laws and overseeing the financing of elections for federal office.
-
E.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1216f44819094c46ae7c2c1e394 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1799b530819095d828c9d4a9dc9c |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1a13336081908c134023db0cc63e |
completed | March 9, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1a7762908190a0efd063e1e72bda |
completed | March 9, 2026, 7:07 p.m. |
Created at: March 6, 2026, 9:44 p.m.