Triple
T30729225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choachuno |
E782369
|
entity |
| Predicate | usedForCitizenshipOrOrigin |
P180892
|
FINISHED |
| Object | local origin |
—
|
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: local origin | Statement: [Choachuno, usedForCitizenshipOrOrigin, local origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForCitizenshipOrOrigin Context triple: [Choachuno, usedForCitizenshipOrOrigin, local origin]
-
A.
usedByCountryOfCitizenship
Indicates that something is utilized or employed by the country in which a person (or group of people) holds citizenship.
-
B.
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.
-
C.
countryOfCitizenship
Indicates the country in which a person or entity holds legal citizenship.
-
D.
citizenshipBasedOn
Indicates that an entity’s citizenship is determined or derived from another specified factor, condition, or relationship.
-
E.
hasMotherCitizenship
Indicates that the mother of a given person holds citizenship in a specified country or jurisdiction.
- F. None of above. chosen
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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 29, 2026, 8:37 p.m.