Triple
T7201519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Barstow Strong |
E168756
|
entity |
| Predicate | middleName |
P143
|
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: [William Barstow Strong, middleName, Barstow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barstow Context triple: [William Barstow Strong, middleName, 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.
Artesia
Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
-
D.
Artesia
Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
-
E.
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.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94971508190bb38184c9af2fe51 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db066aec8190a1193cbb3b6a8349 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:52 p.m.