Triple
T18139441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BIBCO |
E434221
|
entity |
| Predicate | relatedProgram |
P37
|
FINISHED |
| Object | CONSER |
—
|
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: CONSER | Statement: [BIBCO, relatedProgram, CONSER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CONSER Context triple: [BIBCO, relatedProgram, CONSER]
-
A.
CONSER
chosen
CONSER is a cooperative international program through which libraries collaboratively create, maintain, and share high-quality serials cataloging records.
-
B.
CONSOB
CONSOB is Italy’s national securities and financial markets regulator, overseeing the transparency and proper functioning of the country’s stock exchanges and investment services.
-
C.
CONS
CONS is the National Olympic Committee responsible for organizing and overseeing San Marino’s participation in the Olympic Games and other international sporting events.
-
D.
CON
CON is a Nigerian national honor post-nominal indicating a recipient of the Commander of the Order of the Niger.
-
E.
CON
CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
- 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.