Triple
T12349147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron University |
E294437
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Lawton |
E61150
|
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: Lawton | Statement: [Cameron University, city, Lawton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawton Context triple: [Cameron University, city, Lawton]
-
A.
Lawton
chosen
Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
-
B.
Lawton
Lawton is a residential neighborhood in Havana, Cuba, known for its traditional urban character within the Diez de Octubre municipality.
-
C.
Lawton
Lawton is a masculine given name most notably associated with American politician and former Florida governor Lawton Chiles.
-
D.
McAlester
McAlester is a regional hub city in southeastern Oklahoma known for its role as a commercial center and for housing the Oklahoma State Penitentiary.
-
E.
Bartlesville
Bartlesville is a small city in northeastern Oklahoma known for its oil industry heritage and distinctive architecture, including Frank Lloyd Wright’s Price Tower.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef6c34481909e18bce1154e7146 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:53 p.m.