Triple
T21024243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dessai |
E517894
|
entity |
| Predicate | usedByCommunityIn |
P7159
|
FINISHED |
| Object | western India |
—
|
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: western India | Statement: [Dessai, usedByCommunityIn, western India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByCommunityIn Context triple: [Dessai, usedByCommunityIn, western India]
-
A.
usedByCommunity
chosen
Indicates that something is utilized or adopted collectively by a particular community.
-
B.
usedInCommunity
Indicates that something is employed, practiced, or applied within a particular community or communal context.
-
C.
usedInCommunityType
Indicates that something is utilized or occurs within a specific type or category of community.
-
D.
usedByCommunitySize
Indicates that something is utilized or adopted by a community characterized by a particular size or number of members.
-
E.
developedInCommunity
Indicates that something was created, built, or advanced through the participation, collaboration, or support of a particular community.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5f5bcc8190ab5fcc467703f0ef |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.