Triple
T22342086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCC |
E552299
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UCC |
—
|
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: UCC | Statement: [UCC, shortName, UCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCC Context triple: [UCC, shortName, UCC]
-
A.
UCC
UCC is a mainline Protestant Christian denomination in the United States known for its progressive theology and strong emphasis on social justice and inclusivity.
-
B.
UCC
UCC is an international copyright treaty established under UNESCO to provide a standardized framework for protecting literary, artistic, and scientific works across participating countries.
-
C.
UCC
UCC is a major Irish public research university located in Cork, renowned for its strong academic programs and historic campus.
-
D.
UCC
UCC is the European Union’s modern customs legal framework that harmonizes and simplifies customs rules and procedures across EU member states.
-
E.
UCC
UCC is a major American chemical and polymers company historically known for its industrial innovations as well as its involvement in the 1984 Bhopal disaster.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15794fae48190a2b79e9ae4b57bb1 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.