Triple

T16731916
Position Surface form Disambiguated ID Type / Status
Subject Delhi division of Northern Railway E406611 entity
Predicate servesCity P82 FINISHED
Object Ghaziabad NE ONNED1

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: Ghaziabad | Statement: [Delhi division of Northern Railway, servesCity, Ghaziabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghaziabad
Context triple: [Delhi division of Northern Railway, servesCity, Ghaziabad]
  • A. Ghaziabad chosen
    Ghaziabad is a major industrial and residential city in the Indian state of Uttar Pradesh, forming part of the National Capital Region near Delhi.
  • B. Ghaziabad
    Ghaziabad is a village located in the scenic Jhelum Valley region of Azad Jammu and Kashmir, Pakistan.
  • C. Meerut
    Meerut is a historic city in the Indian state of Uttar Pradesh, known as the place where the Indian Rebellion of 1857 first erupted against British colonial rule.
  • D. Faridabad
    Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
  • E. Bareilly
    Bareilly is a historic city in the Indian state of Uttar Pradesh, known as a major center of the 1857 uprising against British colonial rule and now an important commercial and cultural hub.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c362bb88190921fab43d76c3ee8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953eaa6c819091f7d63a1e3e7070 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:20 a.m.