Triple

T11119178
Position Surface form Disambiguated ID Type / Status
Subject When I Get Home E262971 entity
Predicate hasPart P35 FINISHED
Object “Beltway” E154262 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: “Beltway” | Statement: [When I Get Home, hasPart, “Beltway”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Beltway”
Context triple: [When I Get Home, hasPart, “Beltway”]
  • A. the Beltway chosen
    The Beltway is the major circumferential highway encircling Washington, D.C., serving as a key commuter and transit route for the metropolitan area.
  • B. Beltway 8
    Beltway 8, also known as the Sam Houston Tollway, is a major loop highway encircling much of the Houston metropolitan area and serving as a key route for regional traffic.
  • C. Loop 202 beltway
    Loop 202 beltway is a major freeway loop encircling much of the Phoenix metropolitan area in Arizona, providing an alternative route to Interstate 10 and helping to distribute regional traffic.
  • D. T-Street
    T-Street is a film and television production company co-founded by filmmaker Rian Johnson, known for producing projects such as the mystery film "Knives Out" and various high-profile series.
  • E. Beltline
    Beltline is a densely populated, urban inner-city neighbourhood in Calgary known for its high-rise residences, nightlife, and cultural amenities just south of the downtown core.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af6fe448190b042c2e77b855b05 completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8084a88190918f1f94ca0119ed completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:28 p.m.