Triple
T26409845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zou Department |
E663927
|
entity |
| Predicate | formerCapitalLocatedIn |
P183700
|
FINISHED |
| Object | Abomey |
—
|
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: Abomey | Statement: [Zou Department, formerCapitalLocatedIn, Abomey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCapitalLocatedIn Context triple: [Zou Department, formerCapitalLocatedIn, Abomey]
-
A.
formerCapitalLocatedOn
Indicates that a city which once served as a capital is situated on or alongside a specified geographic feature, such as a river, coast, or lake.
-
B.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
C.
wasDeFactoCapitalOf
Indicates that a place functioned in practice as the capital of a political entity, even if it was not officially designated as such.
-
D.
capitalOfProvincePreviouslyLocatedOn
Indicates that an entity serves or served as the capital city of a province that was formerly situated in a specified location.
-
E.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 26, 2026, 11:37 p.m.