Triple
T32515492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmipur Sadar Upazila |
E831049
|
entity |
| Predicate | hasLocalMarketType |
P2714
|
FINISHED |
| Object | bazars |
—
|
LITERAL 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: bazars | Statement: [Lakshmipur Sadar Upazila, hasLocalMarketType, bazars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalMarketType Context triple: [Lakshmipur Sadar Upazila, hasLocalMarketType, bazars]
-
A.
hasLocalMarketFunction
Indicates that an entity serves a local market role or function, such as providing goods, services, or economic activities primarily to a nearby or community-based customer base.
-
B.
hasMarket
chosen
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
C.
hasMarketingRegion
Indicates that an entity is associated with or assigned to a specific marketing region for targeting, management, or analysis purposes.
-
D.
isInMarketTown
Indicates that an entity is located within or belongs to a town that functions as a local commercial or trading center.
-
E.
hasMarketStatus
Indicates the current commercial or trading condition of an entity, such as whether it is active, suspended, listed, or delisted in a market.
- F. None of above.
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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: May 1, 2026, 1 a.m.