Triple

T29645082
Position Surface form Disambiguated ID Type / Status
Subject Court of the Patriarchs E755975 entity
Predicate hasParkShuttleStop P15438 FINISHED
Object Court of the Patriarchs shuttle stop LITERAL 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: Court of the Patriarchs shuttle stop | Statement: [Court of the Patriarchs, hasParkShuttleStop, Court of the Patriarchs shuttle stop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParkShuttleStop
Context triple: [Court of the Patriarchs, hasParkShuttleStop, Court of the Patriarchs shuttle stop]
  • A. parkShuttleRequired
    Indicates that using a shuttle service is necessary to access or move within a particular park or parking area.
  • B. hasParkAndRideFunction
    Indicates that a location or facility serves as a park-and-ride, where people can park vehicles and transfer to another mode of transport for the rest of their journey.
  • C. hasShuttleLine
    Indicates that there is a shuttle service or route operating between the related entities.
  • D. hasPublicTransportStop chosen
    Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
  • E. hasParkAndRideGarage
    Indicates that a location includes a parking facility where people can park their vehicles and transfer to public transit services.
  • F. None of above.

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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
Created at: April 28, 2026, 6:49 p.m.