Triple

T32425990
Position Surface form Disambiguated ID Type / Status
Subject Principal Secretary to Government, Higher Education Department, Tamil Nadu E828577 entity
Predicate roleInPlanning P21890 FINISHED
Object participates in long-term planning for higher education infrastructure and expansion in Tamil Nadu LITERAL FINISHED

How this triple was built (1 step)

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: participates in long-term planning for higher education infrastructure and expansion in Tamil Nadu | Statement: [Principal Secretary to Government, Higher Education Department, Tamil Nadu, roleInPlanning, participates in long-term planning for higher education infrastructure and expansion in Tamil Nadu]

Provenance (2 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_69f3491b28bc8190b75cea7a507f337b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff28faac6c81908c427262a31f2fd6 completed May 9, 2026, 12:30 p.m.
Created at: May 1, 2026, 12:54 a.m.