Triple
T332383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Pueblo de Nuestra Señora la Reina de los Ángeles |
E6652
|
entity |
| Predicate | hasEthnicOriginOfSettlers |
P194
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [El Pueblo de Nuestra Señora la Reina de los Ángeles, hasEthnicOriginOfSettlers, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicOriginOfSettlers Context triple: [El Pueblo de Nuestra Señora la Reina de los Ángeles, hasEthnicOriginOfSettlers, Spanish]
-
A.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
historicallyInhabitedBy
Indicates that a place or region was inhabited by a particular group or population during some period in the past.
-
C.
hasColonialHistoryWith
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
D.
hadPrimarySettlementPattern
Indicates that an entity exhibited or was characterized by a particular dominant form or arrangement of human settlement.
-
E.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.