Triple
T4240294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gabriel Valley |
E95395
|
entity |
| Predicate | hasMajorEthnicCommunity |
P1898
|
FINISHED |
| Object | Asian American |
—
|
LITERAL 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: Asian American | Statement: [San Gabriel Valley, hasMajorEthnicCommunity, Asian American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorEthnicCommunity Context triple: [San Gabriel Valley, hasMajorEthnicCommunity, Asian American]
-
A.
hasSignificantPopulationGroup
chosen
Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
-
B.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
C.
hasMajorCommunity
Indicates that an entity possesses a primary or significantly large community associated with it.
-
D.
hasEthnicallyMixedPopulation
Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
-
E.
containedEthnicGroup
Indicates that one entity (typically a larger group, region, or population) includes or encompasses a particular ethnic group within it.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.