Triple
T9203113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Route 99 |
E220897
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Tulare |
E136687
|
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: Tulare | Statement: [California State Route 99, passesThrough, Tulare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulare Context triple: [California State Route 99, passesThrough, Tulare]
-
A.
Tulare, California
chosen
Tulare, California is a small agricultural city in California’s San Joaquin Valley, known for its dairy industry and annual World Ag Expo.
-
B.
Merced
Merced was the original codename for Intel and Hewlett-Packard’s first-generation Itanium 64-bit server processor.
-
C.
Merced
Merced is a city in California’s San Joaquin Valley known as a gateway to Yosemite National Park and home to the University of California, Merced.
-
D.
Merced
Merced is a metro station on Mexico City’s Line 1 that serves the busy commercial area surrounding the historic La Merced market.
-
E.
Suisun City, California
Suisun City, California is a small waterfront community in Solano County known for its historic downtown and proximity to the Suisun Marsh and San Francisco Bay Area.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd944e6208190adfcc7f75197387d |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b96f0e88190bd80594fe3f769b8 |
completed | April 4, 2026, 5:03 a.m. |
Created at: March 30, 2026, 7:26 p.m.