Triple

T28588431
Position Surface form Disambiguated ID Type / Status
Subject Ponnur E723573 entity
Predicate revenueDivision P164478 FINISHED
Object Tenali revenue division NE NERFINISHED

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: Tenali revenue division | Statement: [Ponnur, revenueDivision, Tenali revenue division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revenueDivision
Context triple: [Ponnur, revenueDivision, Tenali revenue division]
  • A. tenantDivision
    Indicates a relationship where a tenant entity is partitioned or segmented into multiple divisions or sub-tenants within a shared environment.
  • B. relatedDivision
    Indicates that there is an organizational or structural association between two divisions, such as being counterparts, partners, or otherwise linked within a broader entity.
  • C. divisionServes
    Indicates that a particular division provides services or support to, or operates on behalf of, another entity.
  • D. companyDivision
    Indicates that one entity is a division, branch, or subordinate business unit within the organizational structure of another company entity.
  • E. makerDivision
    Indicates that one entity is a specific division or subdivision within the organization or structure of the entity that created or produced another entity.
  • 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_69f01d7f92e481909847f5f3f3174a89 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f650fc44e48190bc0e0a935eac62a6 completed May 2, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69f64cb1cf5481908a4fb19b531f52e2 completed May 2, 2026, 7:12 p.m.
PDg Predicate description generation batch_69f64d6742a08190b5bd7582fa4f125f completed May 2, 2026, 7:15 p.m.
Created at: April 28, 2026, 4:19 a.m.