Triple
T33341107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moyen-Ogooué Province |
E853668
|
entity |
| Predicate | inlandRegion |
P67241
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Moyen-Ogooué Province, inlandRegion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inlandRegion Context triple: [Moyen-Ogooué Province, inlandRegion, true]
-
A.
locatedInland
chosen
Indicates that something is situated away from the coast or shoreline, within the interior of a land area.
-
B.
inlandSectionKnownAs
Indicates that a specific inland section of a larger geographic feature is known or referred to by a particular name.
-
C.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
D.
hasInlandArea
Indicates that an entity possesses a portion of its territory or surface that is located away from coastal or shoreline areas.
-
E.
riverRegion
Indicates that a river is located within, flows through, or is otherwise geographically associated with a particular region.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:34 a.m.