Triple

T21087974
Position Surface form Disambiguated ID Type / Status
Subject Walnut–Locust station E519553 entity
Predicate locatedNear P294 FINISHED
Object Walnut Street 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: Walnut Street | Statement: [Walnut–Locust station, locatedNear, Walnut Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walnut Street
Context triple: [Walnut–Locust station, locatedNear, Walnut Street]
  • A. Walnut Street chosen
    Walnut Street is a major commercial and cultural thoroughfare in Philadelphia, known for its shops, restaurants, and proximity to several universities in University City.
  • B. Walnut Street
    Walnut Street is a popular upscale shopping and dining corridor in Pittsburgh’s Shadyside neighborhood, known for its boutiques, restaurants, and vibrant street life.
  • C. Walnut Street
    Walnut Street is a major thoroughfare running through the Newton Highlands village of Newton, Massachusetts, serving as one of its primary local roads.
  • D. Walnut Street
    Walnut Street is a common street name in many American cities, typically referring to a central or historically significant thoroughfare often associated with commercial or civic activity.
  • E. Walnut Street
    Walnut Street is a primary thoroughfare running through downtown Cincinnati, Ohio, lined with offices, shops, restaurants, and cultural attractions.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094cebe08190bb10f51a45c244ec completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.