Triple
T4871558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiv Sena (Uddhav Balasaheb Thackeray) |
E109094
|
entity |
| Predicate | hasFactionalOrigin |
P60370
|
FINISHED |
| Object | Eknath Shinde rebellion in Shiv Sena |
—
|
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: Eknath Shinde rebellion in Shiv Sena | Statement: [Shiv Sena (Uddhav Balasaheb Thackeray), hasFactionalOrigin, Eknath Shinde rebellion in Shiv Sena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFactionalOrigin Context triple: [Shiv Sena (Uddhav Balasaheb Thackeray), hasFactionalOrigin, Eknath Shinde rebellion in Shiv Sena]
-
A.
hasFaction
Indicates that an entity is affiliated with, belongs to, or is represented by a particular faction or group.
-
B.
hasOpposingFaction
Indicates that one faction stands in opposition or conflict to another faction.
-
C.
hasHistoricalOrigin
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
-
D.
hasMajorFaction
Indicates that an entity possesses or is associated with a primary or dominant faction within a given context.
-
E.
hasEthnicTensionHistory
Indicates that there has been a history of conflict, strain, or hostility between ethnic groups within the referenced context.
- F. None of above. chosen
Provenance (4 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:27 p.m.