Triple
T2648282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumberland |
E53833
|
entity |
| Predicate | historicCountyCode |
P10086
|
FINISHED |
| Object | CUL |
E7688
|
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: CUL | Statement: [Cumberland, historicCountyCode, CUL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUL Context triple: [Cumberland, historicCountyCode, CUL]
-
A.
CUL
chosen
CUL is the main research library of the University of Cambridge and one of the largest and most important academic libraries in the United Kingdom.
-
B.
CRL
CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
-
C.
CRL
CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
-
D.
UCLS
UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
-
E.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91b4b3c81908571e85a1621dfc5 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c944548190a8dbe9b81045e97b |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.