Triple

T19599104
Position Surface form Disambiguated ID Type / Status
Subject Incheon International Airport Expressway E470420 entity
Predicate hasSpeedLimitKmPerHour P2129 FINISHED
Object 100 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: 100 | Statement: [Incheon International Airport Expressway, hasSpeedLimitKmPerHour, 100]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpeedLimitKmPerHour
Context triple: [Incheon International Airport Expressway, hasSpeedLimitKmPerHour, 100]
  • A. hasSpeedLimit chosen
    Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
  • B. hasSpeedLimitCharacteristic
    Indicates that an entity is associated with a specific speed limit property or constraint.
  • C. hasSpeedLimitRange
    Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
  • D. hasSpeedRestriction
    Indicates that an entity is subject to a specified limit on its allowable speed.
  • E. speedLimitCharacteristic
    Indicates that an entity has a specific speed limit property or constraint associated with it.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514e166dc8190a0f147e0b4c8bbe7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.