Triple
T34236050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouloundou Department |
E878337
|
entity |
| Predicate | subdivisionOfName |
P178556
|
FINISHED |
| Object | Ogooué-Lolo Province |
—
|
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: Ogooué-Lolo Province | Statement: [Mouloundou Department, subdivisionOfName, Ogooué-Lolo Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionOfName Context triple: [Mouloundou Department, subdivisionOfName, Ogooué-Lolo Province]
-
A.
subdivisionNameType
Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
-
B.
subdivisionName0
Indicates the name assigned to the first (primary) subdivision or sub-unit associated with an entity.
-
C.
subdivisionName1
Indicates that the first named subdivision is identified by a specific name or designation within a larger geographic or organizational hierarchy.
-
D.
subdivisionNameExample
Indicates that the predicate provides an example name of a subdivision (such as a district, region, or administrative area) associated with an entity.
-
E.
provincialSubdivisionName
Indicates the name assigned to a first-level administrative or provincial subdivision within a larger territorial or political 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710b646808190bbc3a5a2acc09455 |
completed | May 3, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:56 a.m.