Triple
T20869455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | + (album) |
E513851
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | U.N.I. |
—
|
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: U.N.I. | Statement: [+ (album), track, U.N.I.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U.N.I. Context triple: [+ (album), track, U.N.I.]
-
A.
UNI
chosen
UNI was a 1960s–1970s American record label and imprint of MCA Records known for releasing rock, pop, and soul music.
-
B.
UNI
UNI is the commonly used abbreviation for the University of Niš, a public higher education and research institution in Niš, Serbia.
-
C.
UNI
UNI is the IATA airport code for Union Island Airport, a small regional airport serving Union Island in Saint Vincent and the Grenadines.
-
D.
UNI
UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
-
E.
UNI
UNI is a prestigious public engineering and science university in Peru known for its rigorous academic programs and significant contributions to technological and scientific development in the country.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4624ce48190b85e5bb24cf0a305 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.