Triple
T22241073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rushani |
E549723
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Rushan 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: Rushan District | Statement: [Rushani, spokenIn, Rushan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rushan District Context triple: [Rushani, spokenIn, Rushan District]
-
A.
Rushan District
chosen
Rushan District is a mountainous administrative region in eastern Tajikistan’s Gorno-Badakhshan Autonomous Province, known for its remote Pamir landscapes and river valleys.
-
B.
Yaren District
Yaren District is the de facto capital and main administrative center of the Pacific island nation of Nauru.
-
C.
Siyazan District
Siyazan District is an administrative region in northeastern Azerbaijan known for its location along the Caspian Sea coast and its role in the country’s oil and agricultural sectors.
-
D.
Beitun District
Beitun District is a largely residential and rapidly developing district in northeastern Taichung, Taiwan, known for its mix of urban amenities, green spaces, and access to nearby mountain areas.
-
E.
Miqdadiyah District
Miqdadiyah District is an administrative district in eastern Iraq known for its mixed population and agricultural areas within Diyala Governorate.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132140ed481909ab0d4022756a4ba |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.