Triple
T7142769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toncontín International Airport |
E166488
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
TGU
TGU is the IATA airport code for Toncontín International Airport, the main airport serving Tegucigalpa, Honduras.
|
E644799
|
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: TGU | Statement: [Toncontín International Airport, IATAcode, TGU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGU Context triple: [Toncontín International Airport, IATAcode, TGU]
-
A.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
-
B.
TGWU
TGWU is the commonly used abbreviation for the Transport and General Workers' Union, once one of the largest and most influential trade unions in the United Kingdom.
-
C.
TGM
TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
-
D.
TGO
TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
-
E.
GTW
GTW was the stock ticker symbol for Gateway, Inc., a former major American personal computer manufacturer known for its cow-spotted boxes and direct-to-consumer sales model.
- 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: TGU Triple: [Toncontín International Airport, IATAcode, TGU]
Generated description
TGU is the IATA airport code for Toncontín International Airport, the main airport serving Tegucigalpa, Honduras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGU Target entity description: TGU is the IATA airport code for Toncontín International Airport, the main airport serving Tegucigalpa, Honduras.
-
A.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
-
B.
TGWU
TGWU is the commonly used abbreviation for the Transport and General Workers' Union, once one of the largest and most influential trade unions in the United Kingdom.
-
C.
TGM
TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
-
D.
TGO
TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
-
E.
GTW
GTW was the stock ticker symbol for Gateway, Inc., a former major American personal computer manufacturer known for its cow-spotted boxes and direct-to-consumer sales model.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e779ace48190be9c33750e60a79e |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad98576481908b8b82f675079fca |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae1bde448190b546d292d213c8c9 |
completed | March 28, 2026, 10:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ae73e1a88190a18488b3155b2542 |
completed | March 28, 2026, 10:33 a.m. |
Created at: March 27, 2026, 2:45 p.m.