Triple

T38546540
Position Surface form Disambiguated ID Type / Status
Subject Nanded Regional Transport Office E924978 entity
Predicate partOf P40 FINISHED
Object Regional Transport Offices in Maharashtra
Regional Transport Offices in Maharashtra are government-run agencies across the state responsible for vehicle registration, driver licensing, and enforcement of motor vehicle regulations.
E2274781 NE 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: Regional Transport Offices in Maharashtra | Statement: [Nanded Regional Transport Office, partOf, Regional Transport Offices in Maharashtra]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Regional Transport Offices in Maharashtra
Triple: [Nanded Regional Transport Office, partOf, Regional Transport Offices in Maharashtra]
Generated description
Regional Transport Offices in Maharashtra are government-run agencies across the state responsible for vehicle registration, driver licensing, and enforcement of motor vehicle regulations.

Provenance (5 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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2ef0e3c8190bac242675003ade6 completed May 7, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e037ff9081908f46513ae0253650 completed June 29, 2026, 3:02 a.m.
NEDg Description generation batch_6a41e12f868c8190917fde5775e28d19 completed June 29, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a41e1c14b4c81908b2d6358dbd3ae0f completed June 29, 2026, 3:08 a.m.
Created at: May 3, 2026, 4:32 p.m.