Triple
T19813590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uddhav Thackeray |
E476005
|
entity |
| Predicate | partySplit |
P6497
|
FINISHED |
| Object | split of Shiv Sena leading to Eknath Shinde faction |
—
|
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: split of Shiv Sena leading to Eknath Shinde faction | Statement: [Uddhav Thackeray, partySplit, split of Shiv Sena leading to Eknath Shinde faction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partySplit Context triple: [Uddhav Thackeray, partySplit, split of Shiv Sena leading to Eknath Shinde faction]
-
A.
typicalSplit
Indicates that something is divided into parts or portions in the usual or most common way.
-
B.
portionForm
Indicates that one entity represents the specific form, shape, or configuration in which a portion of another entity is presented or structured.
-
C.
parallelDivision
Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
-
D.
dividedBetween
chosen
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
E.
divisionIncluded
Indicates that one division is contained within or forms a part of another division.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542d7c048190818359cbf430f50e |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.