Triple
T36230467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée du Bandama District |
E891226
|
entity |
| Predicate | containsImportantCity |
P41762
|
FINISHED |
| Object | Bouaké |
—
|
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: Bouaké | Statement: [Vallée du Bandama District, containsImportantCity, Bouaké]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsImportantCity Context triple: [Vallée du Bandama District, containsImportantCity, Bouaké]
-
A.
wasImportantCityOf
Indicates that a city held significant importance or prominence within a specified larger political or geographic entity during a given time period.
-
B.
notableCityIncluded
chosen
Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
-
C.
hasFamousCity
Indicates that an entity possesses or is associated with a city that is widely recognized or renowned.
-
D.
containsCapitalCity
Indicates that a geographic or political region includes within its boundaries the capital city associated with it.
-
E.
isMajorCityIn
Indicates that a city is a primary or significant urban center located within a specified larger region or country.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0120f070b081909b6d1a3d8ee6b80e |
completed | May 11, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_6a01209da37481909683e38f264b15ef |
completed | May 11, 2026, 12:19 a.m. |
Created at: May 3, 2026, 4:09 p.m.