Triple
T30799683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain Dar |
E784330
|
entity |
| Predicate | fieldComplex |
P176758
|
FINISHED |
| Object | Ain Dar–Shedgum area |
—
|
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: Ain Dar–Shedgum area | Statement: [Ain Dar, fieldComplex, Ain Dar–Shedgum area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldComplex Context triple: [Ain Dar, fieldComplex, Ain Dar–Shedgum area]
-
A.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
-
B.
fieldComposition
Indicates how the components or elements within a field are organized, combined, or structured in relation to one another.
-
C.
fields
Indicates that one entity has fields or attributes that are defined, declared, or contained within another entity.
-
D.
fields
Indicates that one entity possesses, defines, or contains specific data fields or attributes associated with another entity.
-
E.
fieldComponent
Indicates that one entity functions as a constituent or sub-part within a larger field or domain defined by another entity.
- F. None of above. chosen
Provenance (4 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 29, 2026, 8:42 p.m.