Triple
T7190859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockton Heat |
E167685
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Stockton |
E27002
|
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: Stockton | Statement: [Stockton Heat, city, Stockton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stockton Context triple: [Stockton Heat, city, Stockton]
-
A.
Stockton
chosen
Stockton is a major inland port city in California’s Central Valley, known for its agricultural economy, diverse population, and role as a transportation and logistics hub.
-
B.
Stockton
Stockton is a riverside suburb of Newcastle in New South Wales, Australia, known for its long sandy beaches and coastal lifestyle.
-
C.
Stockton, New Jersey
Stockton, New Jersey is a small historic borough along the Delaware River known for its quaint village character and scenic rural surroundings in Hunterdon County.
-
D.
Fremont
Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
-
E.
Fremont
Fremont is a vibrant, artsy neighborhood in Seattle known for its public art, quirky landmarks, and lively cultural scene.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.