Triple
T18824402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salyan District |
E460345
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Salyan city |
—
|
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: Salyan city | Statement: [Salyan District, hasSettlement, Salyan city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salyan city Context triple: [Salyan District, hasSettlement, Salyan city]
-
A.
Salyan
chosen
Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
-
B.
Pegu City
Pegu City is a historic urban center in Myanmar, known for its ancient Buddhist temples and role as a former capital of the Mon Kingdom.
-
C.
Sibi city
Sibi city is a historic urban center in Balochistan, Pakistan, known for its cultural significance and as the venue of the famous annual Sibi Mela livestock and cultural festival.
-
D.
Raxaul
Raxaul is a border town in Bihar, India, known as a major transit and trade gateway between India and Nepal.
-
E.
Salyan District
Salyan District is an administrative region in Azerbaijan known for its agricultural activities and location along the Kura River in the country’s lowland area.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.