Triple

T28469064
Position Surface form Disambiguated ID Type / Status
Subject Karol Bagh E720379 entity
Predicate hasPart P35 FINISHED
Object W.E.A. (Western Extension Area)
W.E.A. (Western Extension Area) is a planned residential and commercial neighborhood within Delhi’s Karol Bagh locality, known for its grid-like layout, guest houses, and proximity to major markets and transport links.
 E1818711 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: W.E.A. (Western Extension Area) | Statement: [Karol Bagh, hasPart, W.E.A. (Western Extension Area)]
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: W.E.A. (Western Extension Area)
Triple: [Karol Bagh, hasPart, W.E.A. (Western Extension Area)]
Generated description
W.E.A. (Western Extension Area) is a planned residential and commercial neighborhood within Delhi’s Karol Bagh locality, known for its grid-like layout, guest houses, and proximity to major markets and transport links.

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_69f01a58a67c819097936d9e8da8d6e6 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64eac53748190a12150076974ef77 completed May 2, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a164196d8588190a4418e37a1f62d54 completed May 27, 2026, 12:57 a.m.
NEDg Description generation batch_6a1642b38cfc81909cdd508d4f2969b7 completed May 27, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_6a16434f165c819081ea70b81354a508 completed May 27, 2026, 1:05 a.m.
Created at: April 28, 2026, 2:47 a.m.