Triple
T1465265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Bernardino County |
E27007
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Barstow |
E14843
|
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: Barstow | Statement: [San Bernardino County, hasMajorCity, Barstow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barstow Context triple: [San Bernardino County, hasMajorCity, Barstow]
-
A.
Barstow
chosen
Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
-
B.
Cathedral City
Cathedral City is a desert community in Southern California known as a residential and resort city within the Greater Palm Springs area.
-
C.
Bakersfield
Bakersfield is a large city in California known for its role as an agricultural and oil-production hub and as the birthplace of the Bakersfield sound in country music.
-
D.
Calipatria
Calipatria is a small city in Southern California’s Imperial Valley known for its agricultural economy and notably low elevation below sea level.
-
E.
Palm Desert
Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5ba2d5c81909ee85713de961fcb |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae303a4f5881909746b1dae558f8b0 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 1, 2026, 8:01 p.m.