Triple
T17610802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Career-related Programme |
E428959
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | IBCP |
—
|
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: IBCP | Statement: [Career-related Programme, alsoKnownAs, IBCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBCP Context triple: [Career-related Programme, alsoKnownAs, IBCP]
-
A.
IBCP
chosen
IBCP is an International Baccalaureate programme that combines academic study with career-related learning to prepare students for further education, apprenticeships, or employment.
-
B.
IB
IB is the IATA airline designator for Iberia, the flag carrier airline of Spain.
-
C.
IB
IB is the vehicle registration code used on license plates for the Spanish Balearic Islands, including Formentera.
-
D.
IB
IB is a high-speed, low-latency computer networking and interconnect technology widely used in supercomputing and data centers.
-
E.
IPEC
IPEC is the U.S. government’s chief coordinator for developing and overseeing national policies and strategies to protect and enforce intellectual property rights.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2d294881908380b2ab0b4d2503 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.