Triple
T35390955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kordofan |
E1022935
|
entity |
| Predicate | hasMountainRegion |
P651
|
FINISHED |
| Object | Nuba Mountains |
—
|
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: Nuba Mountains | Statement: [Kordofan, hasMountainRegion, Nuba Mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountainRegion Context triple: [Kordofan, hasMountainRegion, Nuba Mountains]
-
A.
hasMountainRange
chosen
Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
-
B.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
C.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
D.
hasMajorMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a principal or significant mountain range.
-
E.
hasMountainGroup
Indicates that one entity is associated with, belongs to, or is part of a particular group or range of mountains.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 3, 2026, 4:03 p.m.