Triple
T11137238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacoima |
E263445
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Sylmar |
E584015
|
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: Sylmar | Statement: [Pacoima, borderedBy, Sylmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylmar Context triple: [Pacoima, borderedBy, Sylmar]
-
A.
Sylmar
chosen
Sylmar is a suburban neighborhood in the northern San Fernando Valley region of Los Angeles, known for its residential character and proximity to the San Gabriel Mountains.
-
B.
Artesia
Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
-
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.
Shafter
Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
-
E.
Shafter
Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85f2ea48190bf1ff63af1d7d236 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e442030b588190bc958030f30b648a |
completed | April 19, 2026, 2:46 a.m. |
Created at: April 8, 2026, 9:28 p.m.