Triple
T22918002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges St-Pierre |
E568783
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | GSP |
—
|
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: GSP | Statement: [Georges St-Pierre, shortName, GSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSP Context triple: [Georges St-Pierre, shortName, GSP]
-
A.
GSP
GSP is the IATA airport code for Greenville–Spartanburg International Airport, the primary commercial airport serving the Greenville–Spartanburg metropolitan area in South Carolina.
-
B.
GSP
GSP is a regional vehicle registration code used on license plates issued in the Pomeranian Voivodeship of Poland.
-
C.
GSP
GSP is the commonly used abbreviation for the Garden State Parkway, a major toll highway running the length of New Jersey.
-
D.
GSP
GSP is a prominent regional theater company in New Brunswick, New Jersey, known for producing new and contemporary plays and musicals.
-
E.
GSP
chosen
GSP is a legendary Canadian mixed martial artist widely regarded as one of the greatest fighters in UFC history, known for his dominant reign as welterweight champion.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.