Triple
T15647593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syangja District |
E376220
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Putalibazar |
E705702
|
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: Putalibazar | Statement: [Syangja District, containsSettlement, Putalibazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Putalibazar Context triple: [Syangja District, containsSettlement, Putalibazar]
-
A.
Putalibazar
chosen
Putalibazar is a municipality in central Nepal known as a local administrative and commercial center within Gandaki Province.
-
B.
Shobhabazar
Shobhabazar is a historic neighborhood in North Kolkata, India, known for its old aristocratic houses and cultural heritage.
-
C.
Chandanagar
Chandanagar is a residential and commercial suburb in the northwestern part of Hyderabad, India, known for its proximity to IT hubs and growing urban infrastructure.
-
D.
Jalukbari
Jalukbari is a locality in Guwahati, Assam, known as an educational hub that hosts institutions such as Gauhati University.
-
E.
Illambazar
Illambazar is a town and administrative unit in the Birbhum district of West Bengal, India, known historically as a trading center and for its cultural and rural surroundings.
- 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_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.