Triple

T25323129
Position Surface form Disambiguated ID Type / Status
Subject Bankura district E634936 entity
Predicate hasCulturalGroup P1439 FINISHED
Object Lodha community
The Lodha community is an indigenous tribal group of eastern India, traditionally forest-dependent and historically marginalized, with distinct cultural practices and social identity.
E1683194 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: Lodha community | Statement: [Bankura district, hasCulturalGroup, Lodha community]
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: Lodha community
Triple: [Bankura district, hasCulturalGroup, Lodha community]
Generated description
The Lodha community is an indigenous tribal group of eastern India, traditionally forest-dependent and historically marginalized, with distinct cultural practices and social identity.

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_69e75a9908108190a95427a97020632a completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4969103f08190b227994b2051522c completed May 1, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad4a0de48190827fefdeba01d297 completed May 22, 2026, 7:23 p.m.
NEDg Description generation batch_6a10ae7ea0088190bdefa7c31fe2859d completed May 22, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_6a10af719e6c8190bbd23598b3426106 completed May 22, 2026, 7:33 p.m.
Created at: April 21, 2026, 1:29 p.m.