Triple

T35151336
Position Surface form Disambiguated ID Type / Status
Subject Topaz Lake E1015000 entity
Predicate hasBorderHighway P385 FINISHED
Object U.S. Route 395 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: U.S. Route 395 | Statement: [Topaz Lake, hasBorderHighway, U.S. Route 395]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderHighway
Context triple: [Topaz Lake, hasBorderHighway, U.S. Route 395]
  • A. hasRoadBoundary
    Indicates that a road segment is associated with a specific boundary or edge that defines its lateral limits.
  • B. connectsToHighway
    Indicates that one location, road, or route has a direct access point or linkage to a highway.
  • C. hasMajorHighway chosen
    Indicates that a location or area is served by or directly connected to a major highway route.
  • D. hasBorderTrafficControl
    Indicates that there is an official system or mechanism in place to monitor, regulate, or manage the movement of people or goods across a border.
  • E. isDividedHighway
    Indicates that a roadway consists of physically separated carriageways for opposing directions of traffic.
  • 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_69f76ddb3a708190b521ba2970b17178 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fda94697c4819081291967202248be completed May 8, 2026, 9:13 a.m.
PD Predicate disambiguation batch_69fda5973fcc8190a57daef31fb70a49 completed May 8, 2026, 8:57 a.m.
Created at: May 3, 2026, 4:02 p.m.