Triple
T5489033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khatri Punjabis |
E123653
|
entity |
| Predicate | partitionImpact |
P39607
|
FINISHED |
| Object | large-scale migration during 1947 Partition of India |
—
|
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: large-scale migration during 1947 Partition of India | Statement: [Khatri Punjabis, partitionImpact, large-scale migration during 1947 Partition of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partitionImpact Context triple: [Khatri Punjabis, partitionImpact, large-scale migration during 1947 Partition of India]
-
A.
divisionImplications
chosen
Indicates the consequences, outcomes, or effects that result from a particular division or separation between entities.
-
B.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
-
C.
affectedProvision
Indicates that a particular legal provision is impacted, modified, or influenced by another action, decision, or provision.
-
D.
integrityImpact
Indicates the extent to which the relationship or action compromises, alters, or destroys the accuracy, consistency, or trustworthiness of the affected entity’s information or state.
-
E.
divisionSince
Indicates that one entity has been divided or split from another starting at a specific point in 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.