Triple
T2798871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLS |
E53103
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UCLS |
E53103
|
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: UCLS | Statement: [UCLS, abbreviation, UCLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCLS Context triple: [UCLS, abbreviation, UCLS]
-
A.
UCLS
chosen
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.
-
B.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
C.
UoC
UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
-
D.
UCS
UCS (Universal Coded Character Set) is the international standard character encoding defined by ISO/IEC 10646 that underpins Unicode and provides a unique code point for virtually every character in modern and historic writing systems.
-
E.
UCT
UCT is a leading public research university in Cape Town, South Africa, renowned as one of Africa’s top higher education institutions.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf31eec8190a898713e53d1aa5c |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66ad9cc81908af6d3816a840c75 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.