Triple
T20236533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apogee Stadium |
E498163
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Denton |
—
|
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: Denton | Statement: [Apogee Stadium, city, Denton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denton Context triple: [Apogee Stadium, city, Denton]
-
A.
Denton
Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
-
B.
Denton
Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
-
C.
Denton, Texas
chosen
Denton, Texas is a rapidly growing North Texas city known for its vibrant music scene, historic downtown square, and major universities including the University of North Texas and Texas Woman’s University.
-
D.
Lubbock
Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
-
E.
Lubbock
Lubbock is a surname of English origin associated with several notable figures, including scientists, politicians, and public servants.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716a5af0819095ea419a4d1f0d1d |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.