Triple

T33711603
Position Surface form Disambiguated ID Type / Status
Subject Rajendra Place metro station E863754 entity
Predicate line P1293 FINISHED
Object Blue Line
The Blue Line is one of the major corridors of the Delhi Metro network, connecting key residential and commercial areas across the city and its suburbs.
 E185085 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: Blue Line | Statement: [Rajendra Place metro station, line, Blue Line]
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: Blue Line
Triple: [Rajendra Place metro station, line, Blue Line]
Generated description
The Blue Line is one of the major corridors of the Delhi Metro network, connecting key residential and commercial areas across the city and its suburbs.

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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fabac0a08190aae0129f93f0b23e completed May 3, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a365c748e7c8190b62975c620e4b0e4 completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365ded6d548190b3937987c5d079b4 completed June 20, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_6a365e57afc48190bd3fad174217b2c3 completed June 20, 2026, 9:33 a.m.
Created at: May 1, 2026, 1:43 a.m.