Triple
T6731794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niles |
E153650
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City of Fremont |
E28790
|
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: City of Fremont | Statement: [Niles, partOf, City of Fremont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Fremont Context triple: [Niles, partOf, City of Fremont]
-
A.
Central Fremont
Central Fremont is a major district in Fremont, California, encompassing the city’s downtown core, transit hubs, and a mix of residential, commercial, and civic areas.
-
B.
Fremont
chosen
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.
-
C.
Fremont
Fremont is a vibrant, artsy neighborhood in Seattle known for its public art, quirky landmarks, and lively cultural scene.
-
D.
City of Palo Alto
The City of Palo Alto is a Silicon Valley municipality in Northern California known for its role as a global technology and innovation hub and its close ties to Stanford University.
-
E.
City of Glendale
The City of Glendale is a suburban municipality in southeastern Wisconsin, known for its residential neighborhoods, commercial districts, and proximity to downtown Milwaukee.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16a30888190ae474d90bb71ac49 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a6e21788190b91b2102ddd62aa0 |
completed | March 28, 2026, 12:01 a.m. |
Created at: March 27, 2026, 2:09 p.m.