Triple

T26459991
Position Surface form Disambiguated ID Type / Status
Subject Bageshwar district E665602 entity
Predicate governingBody P46 FINISHED
Object District Administration Bageshwar
District Administration Bageshwar is the local governmental authority responsible for managing public services, law and order, and development activities in Bageshwar district of Uttarakhand, India.
E1726230 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: District Administration Bageshwar | Statement: [Bageshwar district, governingBody, District Administration Bageshwar]
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: District Administration Bageshwar
Triple: [Bageshwar district, governingBody, District Administration Bageshwar]
Generated description
District Administration Bageshwar is the local governmental authority responsible for managing public services, law and order, and development activities in Bageshwar district of Uttarakhand, India.

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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612946be8819080ae7c93980075b1 completed May 2, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aedb41708190a6cdc0de0cbd7a00 completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af82fb088190bee576d403827a3e completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02a01f4819088f0f84f9ca335af completed May 23, 2026, 1:48 p.m.
Created at: April 27, 2026, 12:11 a.m.