Triple
T21455011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teacha |
E529317
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | BDP |
—
|
NE NERFINISHED |
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: BDP | Statement: [Teacha, associatedAct, BDP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BDP Context triple: [Teacha, associatedAct, BDP]
-
A.
BDP
chosen
BDP is a major international architecture and engineering firm known for designing prominent public and cultural buildings in the UK and worldwide.
-
B.
BdE
BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
-
C.
BdM
BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
-
D.
BDA
BDA is a UK-based charity that advocates for the rights, language, and culture of deaf people, particularly promoting British Sign Language.
-
E.
BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d612e081909d00ca59a3621cc9 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.