Triple
T22734567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oruzgan |
E562228
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Chora District |
—
|
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: Chora District | Statement: [Oruzgan, hasDistrict, Chora District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chora District Context triple: [Oruzgan, hasDistrict, Chora District]
-
A.
Chora District
chosen
Chora District is an administrative district located within Afghanistan’s central Uruzgan Province.
-
B.
Patnos District
Patnos District is an administrative district in eastern Turkey known for its rural settlements and location within Ağrı Province.
-
C.
Didim District
Didim District is an administrative district in Aydın Province, southwestern Turkey, known for its coastal tourism centers and nearby ancient sites such as the Temple of Apollo at Didyma.
-
D.
Gazipaşa District
Gazipaşa District is an administrative district in Antalya Province, Turkey, known for its Mediterranean coastline, agricultural production, and growing tourism centered around the town of Gazipaşa.
-
E.
Zangiota District
Zangiota District is an administrative district in eastern Uzbekistan, located within the Tashkent Region and encompassing both urban and rural settlements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796f030881908e141564d442bd1b |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.