Triple

T27719449
Position Surface form Disambiguated ID Type / Status
Subject Lok Kalyan Marg E698910 entity
Predicate networkSection P14543 FINISHED
Object North–South corridor of Delhi Metro
The North–South corridor of the Delhi Metro is a major rapid transit line running roughly vertically across Delhi, connecting key residential, commercial, and administrative areas of the city.
 E708107 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: North–South corridor of Delhi Metro | Statement: [Lok Kalyan Marg, networkSection, North–South corridor of Delhi Metro]
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: North–South corridor of Delhi Metro
Triple: [Lok Kalyan Marg, networkSection, North–South corridor of Delhi Metro]
Generated description
The North–South corridor of the Delhi Metro is a major rapid transit line running roughly vertically across Delhi, connecting key residential, commercial, and administrative areas of the city.

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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6363a71e88190a2df9d30f527154d completed May 2, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12eca6e9188190bc83bb0b6df4fcee completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed678580819082d28135e3fcb818 completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12eef54e2c8190b9e8d589f036b066 completed May 24, 2026, 12:28 p.m.
Created at: April 27, 2026, 3:06 p.m.