Triple
T36983427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominguez family |
E914895
|
entity |
| Predicate | countryOfCitizenship (historical) |
P2
|
FINISHED |
| Object | Spain (colonial period) |
E991
|
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: Spain (colonial period) | Statement: [Dominguez family, countryOfCitizenship (historical), Spain (colonial period)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCitizenship (historical) Context triple: [Dominguez family, countryOfCitizenship (historical), Spain (colonial period)]
-
A.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
B.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
C.
hasBiographicalSubjectCitizenship
Indicates that the biographical subject holds or has held citizenship in the specified country or political entity.
-
D.
hasAncestralCitizenshipOf
Indicates that an entity holds or is recognized as holding citizenship of another entity based on ancestral or lineage connections rather than solely on birth or residence.
-
E.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
- F. None of above.
Provenance (4 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a03446ec72881909c5ff25a48baadb3 |
completed | May 12, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c4e48748190a562e6973d789802 |
completed | June 26, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_6a03439b393c819084aa9b7ed0d5b6b0 |
completed | May 12, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:14 p.m.