Triple

T8639108
Position Surface form Disambiguated ID Type / Status
Subject Okhla E204597 entity
Predicate hasPart P35 FINISHED
Object Okhla Industrial Area E204601 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: Okhla Industrial Area | Statement: [Okhla, hasPart, Okhla Industrial Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okhla Industrial Area
Context triple: [Okhla, hasPart, Okhla Industrial Area]
  • A. Okhla Industrial Area chosen
    Okhla Industrial Area is a major industrial and commercial hub in South Delhi, known for its manufacturing units, offices, and business parks.
  • B. Naraina Industrial Area
    Naraina Industrial Area is a major industrial and commercial hub in West Delhi, India, known for its manufacturing units, warehouses, and business establishments.
  • C. Sahibabad Industrial Area
    Sahibabad Industrial Area is a major industrial hub in the Ghaziabad region of Uttar Pradesh, India, known for its concentration of manufacturing and commercial enterprises.
  • D. Landhi Industrial Area
    Landhi Industrial Area is a major industrial zone in Karachi, Pakistan, known for its large concentration of manufacturing and processing industries.
  • E. Barhi industrial area
    Barhi industrial area is a key industrial hub located in Haryana’s Sonipat district, hosting a range of manufacturing and commercial enterprises.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc2c2b84819087a9f23b47c607e8 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:28 p.m.