Triple
T9068749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISRC |
E217308
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | UPC |
E264972
|
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: UPC | Statement: [ISRC, relatedStandard, UPC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPC Context triple: [ISRC, relatedStandard, UPC]
-
A.
UPC
chosen
UPC is the commonly used acronym for the Polytechnic University of Catalonia, a leading Spanish public institution specializing in engineering, architecture, and technology.
-
B.
UPAC
UPAC is a regional performing arts venue in Kingston, New York, known for hosting concerts, theater productions, and community cultural events.
-
C.
UPA
UPA is a major Indian political coalition led by the Indian National Congress that has formed the central government of India multiple times.
-
D.
UPB
UPB is the commonly used abbreviation for the Politehnica University of Bucharest, a major technical university in Romania.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffddc5c288190b18c2ae1aece4ed6 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.