Triple

T28702477

Position	Surface form	Disambiguated ID	Type / Status
Subject	Burari Assembly constituency	`E729590`	entity
Predicate	hasMLA	`P133573`	FINISHED
Object	Sanjeev Jha Sanjeev Jha is an Indian politician from the Aam Aadmi Party who serves as a Member of the Delhi Legislative Assembly.	`E1856327`	NE FINISHED

How this triple was built (3 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: Sanjeev Jha | Statement: [Burari Assembly constituency, hasMLA, Sanjeev Jha]

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: Sanjeev Jha
Triple: [Burari Assembly constituency, hasMLA, Sanjeev Jha]

Generated description

Sanjeev Jha is an Indian politician from the Aam Aadmi Party who serves as a Member of the Delhi Legislative Assembly.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasMLA
Context triple: [Burari Assembly constituency, hasMLA, Sanjeev Jha]

A. currentMLA
Indicates that the subject is the person who currently serves as the Member of the Legislative Assembly (MLA) for the object’s electoral district.
B. previousMLA
Indicates that one entity served as a Member of the Legislative Assembly (MLA) for a constituency or jurisdiction immediately before the other entity.
C. hadMLA chosen
Indicates that an entity was represented by, or had as its legislative representative, a particular Member of the Legislative Assembly (MLA).
D. hadMLAParty
Indicates that an entity hosted or participated in a party or social gathering associated with the MLA (e.g., during an MLA conference or event).
E. MLA2022Party
Indicates a relationship where an entity is associated with, participates in, or is recognized as part of the MLA 2022 party event or gathering.
F. None of above.

Provenance (6 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_69f043e6e9688190b6bdd6e5665498ff`	completed	April 28, 2026, 5:21 a.m.
NER	Named-entity recognition	`batch_69f656b5405881908b22cbcf723bff61`	completed	May 2, 2026, 7:55 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a256994e2848190b3f119ade53eb9be`	completed	June 7, 2026, 12:52 p.m.
NEDg	Description generation	`batch_6a256de41c4481909176bfe24f1e4fe8`	completed	June 7, 2026, 1:11 p.m.
NED2	Entity disambiguation (via description)	`batch_6a25724ed7588190862ceef339305f35`	completed	June 7, 2026, 1:29 p.m.
PD	Predicate disambiguation	`batch_69f651ac855481908e30c3b345d31356`	completed	May 2, 2026, 7:34 p.m.

Created at: April 28, 2026, 5:43 a.m.