Triple
T6680419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AUC |
E151963
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | AUC |
E195265
|
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: AUC | Statement: [AUC, hasAbbreviation, AUC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUC Context triple: [AUC, hasAbbreviation, AUC]
-
A.
AUC
AUC is a consortium of historically Black colleges and universities in Atlanta, Georgia, including institutions such as Spelman College, Morehouse College, and Clark Atlanta University.
-
B.
AUC
chosen
AUC is a leading English-language, American-accredited liberal arts university based in Cairo, Egypt, known for its strong programs in the humanities, social sciences, and business.
-
C.
AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
D.
AUL
AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
-
E.
AUL
AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b11df8d88190bf19fcb4e7a0bdb3 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a9fda4819096d4bd3e8133cecb |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.