Triple
T20171023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahariya |
E491957
|
entity |
| Predicate | associatedDistrict |
P29284
|
FINISHED |
| Object | Baran 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: Baran district | Statement: [Sahariya, associatedDistrict, Baran district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baran district Context triple: [Sahariya, associatedDistrict, Baran district]
-
A.
Baran district
chosen
Baran district is an administrative district in the state of Rajasthan, India, known for its rural landscape, historical sites, and cultural heritage.
-
B.
Arpaçay district
Arpaçay district is an administrative district in northeastern Turkey known for its rural settlements and proximity to the Armenian border within Kars Province.
-
C.
Kagizman District
Kagizman District is an administrative district in Turkey that encompasses the town of Kağızman and its surrounding rural areas.
-
D.
Gurbuz District
Gurbuz District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
-
E.
Sergelen District
Sergelen District is a district (sum) in Mongolia that includes the area served by Chinggis Khaan International Airport, the country’s main international air gateway.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66848ae3c8190aa5fde66da35a89a |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.