Triple
T18139439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BIBCO |
E434221
|
entity |
| Predicate | relatedProgram |
P37
|
FINISHED |
| Object | NACO |
—
|
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: NACO | Statement: [BIBCO, relatedProgram, NACO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NACO Context triple: [BIBCO, relatedProgram, NACO]
-
A.
NACO
NACO is a Dutch consultancy firm specializing in airport planning, design, and development worldwide.
-
B.
NACO
chosen
NACO (Name Authority Cooperative Program) is an international cooperative cataloging initiative in which libraries contribute standardized name authority records to shared databases to improve consistency and access in library catalogs.
-
C.
NAC
The North Atlantic Council (NAC) is NATO’s principal political decision-making body, bringing together member states’ representatives to oversee and guide the alliance’s policies and operations.
-
D.
NAC
NAC is the commonly used abbreviation for the National Advisory Council, a high-level governmental body that provides policy advice and recommendations.
-
E.
NAC
NAC is a major Chinese automobile manufacturer based in Nanjing, known for producing passenger cars, commercial vehicles, and automotive components.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.