Triple
T25374769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Benin |
E633027
|
entity |
| Predicate | governmentSeatCountry |
P30136
|
FINISHED |
| Object | Cotonou |
—
|
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: Cotonou | Statement: [flag of Benin, governmentSeatCountry, Cotonou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentSeatCountry Context triple: [flag of Benin, governmentSeatCountry, Cotonou]
-
A.
countryOfSeat
Indicates the country in which an organization’s official seat, headquarters, or principal office is located.
-
B.
countryOfOffice
Indicates the country in which a person’s official position, role, or office is held or exercised.
-
C.
capitalCountry
chosen
Indicates that one place serves as the capital city of a given country.
-
D.
hasSeatOfAdministration
Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
-
E.
legislativeArea
Indicates the geographic or jurisdictional area over which a legislative body or legislative activity has authority or relevance.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 21, 2026, 1:38 p.m.