Triple
T12748535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koregaon Bhima |
E304671
|
entity |
| Predicate | symbolicFor |
P89328
|
FINISHED |
| Object | Dalit assertion |
—
|
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: Dalit assertion | Statement: [Koregaon Bhima, symbolicFor, Dalit assertion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicFor Context triple: [Koregaon Bhima, symbolicFor, Dalit assertion]
-
A.
symbolizedIn
chosen
Indicates that one entity serves as a symbol or representation of another entity.
-
B.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
C.
symbolicallyUses
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
D.
symbolicRelation
Indicates a relationship where one entity stands for, represents, or conveys meaning about another through symbols or abstract signs.
-
E.
symbolForCurrent
Indicates that something serves as the current or active symbolic representation of another entity or state.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.