Triple
T22243118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNT |
E549771
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | UNT |
—
|
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: UNT | Statement: [UNT, acronym, UNT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNT Context triple: [UNT, acronym, UNT]
-
A.
UNT
chosen
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
-
B.
UNE
UNE is a university commonly known by its acronym for Universidad del Este, a higher education institution in Puerto Rico.
-
C.
UME
UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
-
D.
UME
UME is the IATA airport code for Umeå Airport, a regional airport serving the city of Umeå in northern Sweden.
-
E.
UNS
UNS is the commonly used abbreviation for Sebelas Maret University, a prominent public university located in Surakarta, Indonesia.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1321655b0819091f1ddf06c67f3c2 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.