Triple
T33899278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ténéré Desert |
E869001
|
entity |
| Predicate | hasTownWithinOrNear |
P3883
|
FINISHED |
| Object | Bilma |
—
|
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: Bilma | Statement: [Ténéré Desert, hasTownWithinOrNear, Bilma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTownWithinOrNear Context triple: [Ténéré Desert, hasTownWithinOrNear, Bilma]
-
A.
hasNearbyTown
chosen
Indicates that one location has a town situated close to it in geographic proximity.
-
B.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
-
C.
hasNearbyTownType
Indicates that one entity has, in its vicinity, a town of a specified type or classification.
-
D.
hasTownship
Indicates that one administrative area or jurisdiction includes or is associated with a specific township.
-
E.
hasMunicipalitySeatNearby
Indicates that the municipality’s administrative seat is located in close proximity to the referenced place or entity.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:48 a.m.