Triple
T32006876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deir Tasa |
E817291
|
entity |
| Predicate | locatedInDesertFringe |
P8845
|
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: [Deir Tasa, locatedInDesertFringe, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInDesertFringe Context triple: [Deir Tasa, locatedInDesertFringe, true]
-
A.
locatedInDesertTransitionZone
chosen
Indicates that something is situated in a geographical area where desert conditions gradually transition into a different type of ecosystem.
-
B.
isLocatedInDesert
Indicates that something exists or is situated within a desert region or environment.
-
C.
hasNearbyDesert
Indicates that one entity is located close to or in the vicinity of a desert region associated with another entity.
-
D.
desertsFrom
Indicates that an entity abandons or leaves allegiance to another entity, typically in a disloyal or unauthorized manner.
-
E.
hasMajorDesert
Indicates that a region or country contains at least one large, significant desert within its territory.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a02008fcf1c8190b5b6c285944c52e9 |
completed | May 11, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_6a01ffd3ba008190b6f026bd4e6b9a37 |
completed | May 11, 2026, 4:12 p.m. |
Created at: May 1, 2026, 12:15 a.m.