Triple

T13695607
Position Surface form Disambiguated ID Type / Status
Subject Freeway E328377 entity
Predicate memberOf P10 FINISHED
Object State Property E328376 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: State Property | Statement: [Freeway, memberOf, State Property]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State Property
Context triple: [Freeway, memberOf, State Property]
  • A. State Property chosen
    State Property is a Philadelphia-based hip hop collective and rap group led by Beanie Sigel, known for its association with Roc-A-Fella Records in the early 2000s.
  • B. State
    State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
  • C. State
    State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
  • D. STATE
    STATE is the commonly used abbreviation for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
  • E. States Provincial
    States Provincial are the elected provincial legislatures in the Netherlands responsible for regional governance and policymaking.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.