Triple

T21420050
Position Surface form Disambiguated ID Type / Status
Subject Okha Port E528410 entity
Predicate hasRailwayStation P918 FINISHED
Object Okha railway station NE NERFINISHED

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: Okha railway station | Statement: [Okha Port, hasRailwayStation, Okha railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okha railway station
Context triple: [Okha Port, hasRailwayStation, Okha railway station]
  • A. Okha railway station chosen
    Okha railway station is a key rail terminus in Gujarat, India, serving the coastal town of Okha and providing connectivity to major cities across the country.
  • B. Okhla railway station
    Okhla railway station is a suburban rail stop in South East Delhi, India, serving local and regional commuter traffic on the Delhi railway network.
  • C. Samalkha railway station
    Samalkha railway station is a local rail transit stop serving the town of Samalkha in Haryana, India, and connecting it to regional and national rail networks.
  • D. Banha railway station
    Banha railway station is a key passenger and transport hub on Egypt’s main railway network, serving the city of Banha in the Nile Delta.
  • E. Eketāhuna railway station
    Eketāhuna railway station is a small regional train stop in the town of Eketāhuna in New Zealand, serving as part of the country’s rural rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2cdb40481909542f2c953bbab64 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:47 p.m.