Triple
T14913418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airports Authority of Trinidad and Tobago |
E371320
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
AATT
AATT is the state-owned Airports Authority of Trinidad and Tobago responsible for managing and operating the country’s major airports.
|
E1127183
|
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: AATT | Statement: [Airports Authority of Trinidad and Tobago, hasAbbreviation, AATT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AATT Context triple: [Airports Authority of Trinidad and Tobago, hasAbbreviation, AATT]
-
A.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
B.
AAR
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
-
C.
AAR
AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
-
D.
AAAA
AAAA is the commonly used acronym for the Addis Ababa Action Agenda, a global framework adopted in 2015 to guide financing for sustainable development.
-
E.
AAY
AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
- 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: AATT Triple: [Airports Authority of Trinidad and Tobago, hasAbbreviation, AATT]
Generated description
AATT is the state-owned Airports Authority of Trinidad and Tobago responsible for managing and operating the country’s major airports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AATT Target entity description: AATT is the state-owned Airports Authority of Trinidad and Tobago responsible for managing and operating the country’s major airports.
-
A.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
B.
AAR
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
-
C.
AAR
AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
-
D.
AAAA
AAAA is the commonly used acronym for the Addis Ababa Action Agenda, a global framework adopted in 2015 to guide financing for sustainable development.
-
E.
AAY
AAY is the ICAO airline designator used to identify Allegiant Air in aviation operations and communications.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61d75008190b6f9a1a38137836f |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bd18148190ab28744678c22993 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe744b9c048190ae2a64da53d8ffac |
completed | May 8, 2026, 11:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe74d510808190a2379a2380fc327e |
completed | May 8, 2026, 11:42 p.m. |
Created at: April 10, 2026, 2:27 a.m.