Triple

T17028889
Position Surface form Disambiguated ID Type / Status
Subject Leyton E413137 entity
Predicate hasRailTransport P19495 FINISHED
Object Central line E59706 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: Central line | Statement: [Leyton, hasRailTransport, Central line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central line
Context triple: [Leyton, hasRailTransport, Central line]
  • A. Central line chosen
    The Central line is one of the principal lines of the London Underground, running east–west across Greater London and serving many key central and suburban areas.
  • B. Central Line
    The Central Line is one of the major suburban railway corridors in Mumbai, India, connecting the city with its eastern and northeastern suburbs and satellite towns.
  • C. Central Line
    The Central Line is a major railway in Tanzania that runs from Dar es Salaam inland, serving as a key transport corridor across the country.
  • D. PICC
    PICC is a major convention and exhibition center in Metro Manila, Philippines, known for hosting international conferences, cultural events, and government functions.
  • E. PICC
    PICC is a major convention and exhibition venue located in Putrajaya, Malaysia, known for hosting international conferences and events.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d858448190acfe81f10d83ed4b completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b553c588190b46785b85142dce5 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.