Triple
T7017888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistan and Baluchestan Province |
E162740
|
entity |
| Predicate | hasDesertAreas |
P1024
|
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: [Sistan and Baluchestan Province, hasDesertAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesertAreas Context triple: [Sistan and Baluchestan Province, hasDesertAreas, true]
-
A.
hasMajorDesert
chosen
Indicates that a region or country contains at least one large, significant desert within its territory.
-
B.
hasNearbyDesert
Indicates that one entity is located close to or in the vicinity of a desert region associated with another entity.
-
C.
hasDesertType
Indicates that an entity is characterized by or associated with a specific type or category of desert.
-
D.
isLocatedInDesert
Indicates that something exists or is situated within a desert region or environment.
-
E.
hasHighDesertPlateaus
Indicates that a place or region contains elevated, flat-topped landforms characteristic of high desert plateaus.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.