Triple
T34924658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Castro Espín |
E1007248
|
entity |
| Predicate | politicalTerritoryOfCitizenship |
P2
|
FINISHED |
| Object | Republic of Cuba |
—
|
NE NERFINISHED |
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: Republic of Cuba | Statement: [Deborah Castro Espín, politicalTerritoryOfCitizenship, Republic of Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalTerritoryOfCitizenship Context triple: [Deborah Castro Espín, politicalTerritoryOfCitizenship, Republic of Cuba]
-
A.
countryOfCitizenship
chosen
Indicates the country in which a person or entity holds legal citizenship.
-
B.
cityOfCitizenship
Indicates the city in which a person holds legal citizenship or official civic affiliation.
-
C.
place of citizenship
Indicates the country or sovereign state in which a person holds legal citizenship.
-
D.
stateOfCitizenship
Indicates the legal nationality or country to which a person formally belongs as a citizen.
-
E.
servesAsHomelandFor
Indicates that a place functions as the native land, origin, or primary home territory for a particular group or population.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: May 3, 2026, 4 p.m.