Triple

T3500503
Position Surface form Disambiguated ID Type / Status
Subject M25 E73953 entity
Predicate hasJunctionNumberingTo P43890 FINISHED
Object 31 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: 31 | Statement: [M25, hasJunctionNumberingTo, 31]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasJunctionNumberingTo
Context triple: [M25, hasJunctionNumberingTo, 31]
  • A. hasJunctionNumbering
    Indicates that a road or route is assigned a specific numbering system for its junctions or intersections.
  • B. hasJunctionNumber chosen
    Indicates that a road, route, or similar pathway is assigned a specific junction or exit number.
  • C. hasJunctionNumberingScheme
    Indicates the specific system or method used to assign numbers to junctions within a network (such as roads or railways).
  • D. isNumberedJunctionOf
    Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
  • E. hasJunctionWith
    Indicates that one entity meets or intersects with another at a shared junction point.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd4eb308190b84e84261ceec229 completed March 8, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69adae0cd8b0819099da300af09880da completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:18 p.m.