Triple
T4240308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gabriel Valley |
E95395
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | El Monte, California |
E177336
|
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: El Monte, California | Statement: [San Gabriel Valley, contains, El Monte, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Monte, California Context triple: [San Gabriel Valley, contains, El Monte, California]
-
A.
El Monte
chosen
El Monte is a suburban city in Southern California’s San Gabriel Valley, known historically as a gateway for settlers and now as a diverse residential and commercial community.
-
B.
El Monte
El Monte is a commune and town in central Chile known for its agricultural activities and location within the Greater Santiago area.
-
C.
El Cajon
El Cajon is a suburban city in Southern California’s East County region, located just east of San Diego.
-
D.
San Bernardino
San Bernardino is a major inland city in Southern California known as a regional transportation hub and gateway to the Inland Empire.
-
E.
San Ysidro, California
San Ysidro, California is a community in the southernmost part of San Diego, known for hosting one of the busiest land border crossings between the United States and Mexico.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e77fb5c8190b298818acb68ff63 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c710c2f081908b9be1da2bdf1b43 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:05 p.m.