Triple
T22695649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STAR Collaboration |
E561164
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | STAR |
—
|
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: STAR | Statement: [STAR Collaboration, abbreviation, STAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STAR Context triple: [STAR Collaboration, abbreviation, STAR]
-
A.
STAR
chosen
STAR is a large-scale particle physics detector at the Relativistic Heavy Ion Collider designed to study the properties of quark-gluon plasma and the behavior of nuclear matter at extreme energy densities.
-
B.
STAR
STAR is a major expressway system in the Philippines that facilitates faster travel between Metro Manila and the province of Batangas.
-
C.
STAR
STAR (Street Transvestite Action Revolutionaries) was a pioneering activist organization founded in 1970 by Sylvia Rivera and Marsha P. Johnson to support and advocate for homeless queer and trans youth in New York City.
-
D.
STAR
STAR is the public transport network and brand serving the city of Rennes and its metropolitan area in France.
-
E.
Star
Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789e05d88190b9d51bb3f8e3e9d4 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:14 p.m.