Triple

T5472297
Position Surface form Disambiguated ID Type / Status
Subject Lucknow Charbagh railway station E122861 entity
Predicate connectsTo P845 FINISHED
Object Gorakhpur E94443 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: Gorakhpur | Statement: [Lucknow Charbagh railway station, connectsTo, Gorakhpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorakhpur
Context triple: [Lucknow Charbagh railway station, connectsTo, Gorakhpur]
  • A. Gorakhpur chosen
    Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
  • B. Kishanganj
    Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
  • C. Bhagalpur
    Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
  • D. Hajipur
    Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
  • E. Farrukhabad
    Farrukhabad is a city and parliamentary constituency in the Indian state of Uttar Pradesh, known historically for its trade and cultural significance.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd922f66bc8190b7d47fd68d2fcf2e completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfabe8c0648190ad278474f5b32a23 completed March 22, 2026, 8:44 a.m.
Created at: March 20, 2026, 2:09 p.m.