Triple
T15969446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B3 League |
E387280
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | B3 |
E284203
|
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: B3 | Statement: [B3 League, shortName, B3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B3 Context triple: [B3 League, shortName, B3]
-
A.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
B.
B3
chosen
B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
-
C.
B 3
B 3 is a major German federal highway (Bundesstraße) that runs north–south, connecting several important cities across western Germany.
-
D.
3B
3B is the designation of a specific Hubble Space Telescope servicing mission that focused on upgrading and maintaining the observatory’s instruments and systems.
-
E.
B33
B33 is the catalog designation for the Horsehead Nebula, a dark molecular cloud in the constellation Orion whose distinctive silhouette resembles a horse’s head.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.