Triple
T5461459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arora Punjabis |
E122602
|
entity |
| Predicate | partitionMigration |
P8501
|
FINISHED |
| Object | Partition of India 1947 |
—
|
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: Partition of India 1947 | Statement: [Arora Punjabis, partitionMigration, Partition of India 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partitionMigration Context triple: [Arora Punjabis, partitionMigration, Partition of India 1947]
-
A.
migration
Indicates the movement of entities from one location or context to another, often across boundaries or over time.
-
B.
migrationBackground
Indicates that an entity has a personal or familial history of moving from one country or region to another, typically across national borders.
-
C.
migrationEvent
chosen
Indicates an event in which one or more entities move or relocate from one place or context to another, typically across defined boundaries or regions.
-
D.
migratedAcross
Indicates movement of an entity from one side of a boundary, region, or area to the other, typically implying a significant relocation or crossing.
-
E.
migrationPolicy
Indicates the rules or strategies governing how entities move, transfer, or transition from one context, location, or state to another.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.