Triple

T3928964
Position Surface form Disambiguated ID Type / Status
Subject Journal Square E93346 entity
Predicate servedBy P82 FINISHED
Object PATH E21015 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: PATH | Statement: [Journal Square, servedBy, PATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PATH
Context triple: [Journal Square, servedBy, PATH]
  • A. PATH chosen
    PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
  • B. Patchway
    Patchway is a suburban town and civil parish in South Gloucestershire, England, situated near Bristol and known for its post-war housing estates and proximity to major transport links.
  • C. PATH pedestrian network
    The PATH pedestrian network is an extensive underground walkway system in downtown Toronto that links office towers, shopping centers, and transit hubs through a series of interconnected tunnels and corridors.
  • D. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • E. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda65b708190b24cd715915aec1d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5287b8d548190a929f14637cb9963 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:23 p.m.