Triple
T15647575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syangja District |
E376220
|
entity |
| Predicate | administrativeHeadquarters |
P62
|
FINISHED |
| Object | Syangja Bazar |
E1169394
|
NE FINISHED |
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: Syangja Bazar | Statement: [Syangja District, administrativeHeadquarters, Syangja Bazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syangja Bazar Context triple: [Syangja District, administrativeHeadquarters, Syangja Bazar]
-
A.
Syangja Bazar
chosen
Syangja Bazar is the main urban and administrative center of Syangja District in Gandaki Province, Nepal.
-
B.
Korotia Bazar
Korotia Bazar is a well-known local marketplace in the Tangail region of Bangladesh, serving as a commercial hub for surrounding communities.
-
C.
Osh Bazaar
Osh Bazaar is a large, bustling open-air market in Bishkek, Kyrgyzstan, known for its wide array of local foods, textiles, and traditional goods.
-
D.
Arughat Bazaar
Arughat Bazaar is the main market area and commercial hub of Arughat in Nepal, serving as a key trading and supply center for surrounding rural communities and trekkers.
-
E.
Maharajgunj
Maharajgunj is a prominent neighborhood in Kathmandu, Nepal, known for hosting key national institutions and residential areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed4d9f88190b7e24bf84c5a916f |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.