Triple
T14577240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carchi Province |
E342084
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | San Gabriel |
E1107757
|
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: San Gabriel | Statement: [Carchi Province, hasUrbanCenter, San Gabriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Gabriel Context triple: [Carchi Province, hasUrbanCenter, San Gabriel]
-
A.
San Gabriel
chosen
San Gabriel is a small Andean town in northern Ecuador known for its colonial architecture and surrounding highland landscapes.
-
B.
San Bernardino
San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
-
C.
San Gabriel Valley
San Gabriel Valley is a populous region east of Los Angeles known for its diverse suburban communities, large Asian American population, and numerous historic and cultural landmarks.
-
D.
Murrieta
Murrieta is a rapidly growing suburban city in Southern California known for its family-friendly neighborhoods and proximity to major regional employment centers.
-
E.
La Elipa
La Elipa is a Madrid Metro station in the Ciudad Lineal district, serving the residential neighborhood of the same name on Line 2.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91437e08190a41683f1777a8507 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.