Triple
T9621391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dantewada attacks |
E232347
|
entity |
| Predicate | locationSignificance |
P40795
|
FINISHED |
| Object | Maoist stronghold area |
—
|
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: Maoist stronghold area | Statement: [Dantewada attacks, locationSignificance, Maoist stronghold area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationSignificance Context triple: [Dantewada attacks, locationSignificance, Maoist stronghold area]
-
A.
navigationSignificance
Indicates the degree to which something serves as a meaningful aid or reference point for determining or following a route or direction.
-
B.
locationSymbolic
Indicates a symbolic or abstract locational relationship between entities, where one is associated with a place or position in a non-literal, representational, or conceptual sense.
-
C.
locationFocus
chosen
Indicates that the primary or most relevant location associated with an entity, event, or relation is being specified or emphasized.
-
D.
locationSignedNear
Indicates that an entity’s location is in close physical proximity to another specified place or reference point.
-
E.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad3a8d88190b1414aa676d82f36 |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.