Triple

T32573935
Position Surface form Disambiguated ID Type / Status
Subject Mayur Vihar E832589 entity
Predicate hasMetroStation P522 FINISHED
Object Mayur Vihar Extension metro station
Mayur Vihar Extension metro station is a station on the Delhi Metro network serving the Mayur Vihar Extension area in East Delhi, India.
E2016652 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: Mayur Vihar Extension metro station | Statement: [Mayur Vihar, hasMetroStation, Mayur Vihar Extension metro station]
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: Mayur Vihar Extension metro station
Triple: [Mayur Vihar, hasMetroStation, Mayur Vihar Extension metro station]
Generated description
Mayur Vihar Extension metro station is a station on the Delhi Metro network serving the Mayur Vihar Extension area in East Delhi, 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_69f34927bb308190ad94da1b11cad13c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c63ca2e881909f8e056c1ed181ba completed May 3, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349291cc9081909a7fdfb6b016311f completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a34938a58dc8190ab8e23d0b021db8b completed June 19, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a34941dcdbc8190b6549f9be8eb672f completed June 19, 2026, 12:58 a.m.
Created at: May 1, 2026, 1:04 a.m.