Triple

T30880385
Position Surface form Disambiguated ID Type / Status
Subject Saigon River Tunnel E786592 entity
Predicate designedSpeedLimit P138039 FINISHED
Object 60 km/h 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: 60 km/h | Statement: [Saigon River Tunnel, designedSpeedLimit, 60 km/h]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedSpeedLimit
Context triple: [Saigon River Tunnel, designedSpeedLimit, 60 km/h]
  • A. designedSpeedKmH chosen
    Indicates the maximum speed in kilometers per hour that something is intended or engineered to achieve under its design specifications.
  • B. hasSpeedLimit
    Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
  • C. speedLimitCharacteristic
    Indicates that an entity has a specific speed limit property or constraint associated with it.
  • D. regulatesSpeedLimitBy
    Indicates that one entity determines, controls, or sets the speed limit applicable to another entity or context.
  • E. hasSpeedLimitCharacteristic
    Indicates that an entity is associated with a specific speed limit property or constraint.
  • 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_69f224bae17c8190bb3a6a28e3d019df completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd76d1e5208190a6f26651492d1e3c completed May 8, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69fd702a226c81908edfda00f4be4130 completed May 8, 2026, 5:10 a.m.
Created at: April 29, 2026, 8:48 p.m.