Triple

T26113002
Position Surface form Disambiguated ID Type / Status
Subject Ajit Jogi E658747 entity
Predicate representedInLokSabha P80020 FINISHED
Object Raigarh constituency
Raigarh constituency is a parliamentary seat in India known for being an early political stronghold of prominent Chhattisgarh leader Ajit Jogi.
E1712621 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: Raigarh constituency | Statement: [Ajit Jogi, representedInLokSabha, Raigarh constituency]
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: Raigarh constituency
Triple: [Ajit Jogi, representedInLokSabha, Raigarh constituency]
Generated description
Raigarh constituency is a parliamentary seat in India known for being an early political stronghold of prominent Chhattisgarh leader Ajit Jogi.

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_69ee5bc20298819099a42be042eb2349 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6f66651cc8190bfb5249d15ca8614 completed May 3, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1127525f008190836700075b045809 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a1151dc688c8190a4f0a89562fbcd44 completed May 23, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a11558061408190ab4e86f8005b0c6b completed May 23, 2026, 7:21 a.m.
Created at: April 26, 2026, 8:03 p.m.