Triple
T8106272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boca |
E189233
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Boca |
E189233
|
NE FINISHED |
How this triple was built (2 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: Boca | Statement: [Boca, shortName, Boca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boca Context triple: [Boca, shortName, Boca]
-
A.
Boca
chosen
Boca is the commonly used short name for Club Atlético Boca Juniors, one of Argentina’s most famous and successful football clubs based in Buenos Aires.
-
B.
Boca
Boca is a shorthand name commonly used to refer to Boca Raton, an affluent coastal city in South Florida known for its beaches, upscale shopping, and planned communities.
-
C.
Saltina
Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
-
D.
San Blas
San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
-
E.
Puerto del Sauce
Puerto del Sauce is the former name of Fray Bentos, a city in western Uruguay known historically for its meatpacking industry and as a key port on the Uruguay River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42f735c8819090d0d822644c0a51 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe8e3fc88190aaf3bbfa54f4c8ec |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:31 p.m.