Triple
T15536672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina Davis Cup team |
E370362
|
entity |
| Predicate | governingBodyAbbreviation |
P2886
|
FINISHED |
| Object |
AAT
AAT is the Argentine Tennis Association, the national governing body responsible for organizing and promoting tennis in Argentina.
|
E1162470
|
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: AAT | Statement: [Argentina Davis Cup team, governingBodyAbbreviation, AAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAT Context triple: [Argentina Davis Cup team, governingBodyAbbreviation, AAT]
-
A.
AATT
AATT is the state-owned Airports Authority of Trinidad and Tobago responsible for managing and operating the country’s major airports.
-
B.
AET
AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
-
C.
AAI
AAI is India’s government-owned organization responsible for creating, maintaining, and managing civil aviation infrastructure and air traffic services across the country’s airports and airspace.
-
D.
AEE
AEE is the ICAO airline designator used to identify Aegean Airlines in international aviation operations and communications.
-
E.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
- 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: AAT Triple: [Argentina Davis Cup team, governingBodyAbbreviation, AAT]
Generated description
AAT is the Argentine Tennis Association, the national governing body responsible for organizing and promoting tennis in Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AAT Target entity description: AAT is the Argentine Tennis Association, the national governing body responsible for organizing and promoting tennis in Argentina.
-
A.
AATT
AATT is the state-owned Airports Authority of Trinidad and Tobago responsible for managing and operating the country’s major airports.
-
B.
AET
AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
-
C.
AAI
AAI is India’s government-owned organization responsible for creating, maintaining, and managing civil aviation infrastructure and air traffic services across the country’s airports and airspace.
-
D.
AEE
AEE is the ICAO airline designator used to identify Aegean Airlines in international aviation operations and communications.
-
E.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d605b908190a18c63142c8bb854 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f59213c8190a9c98350225b5151 |
completed | May 9, 2026, 2:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3ff96a6c8190a4c9f20dabc86cef |
completed | May 9, 2026, 2:08 p.m. |
Created at: April 10, 2026, 4:06 a.m.