Triple

T27348321
Position Surface form Disambiguated ID Type / Status
Subject Manor Expressway E684287 entity
Predicate hasFreeLanes P166177 FINISHED
Object yes 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: yes | Statement: [Manor Expressway, hasFreeLanes, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFreeLanes
Context triple: [Manor Expressway, hasFreeLanes, yes]
  • A. hasFreeRoads
    Indicates that an entity provides or is associated with roads that can be used without paying tolls or fees.
  • B. hasLanes
    Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
  • C. hasDedicatedLanes
    Indicates that specific lanes within a route or roadway are reserved exclusively for a particular type of traffic or use.
  • D. hasServiceLane
    Indicates that a road or route includes an adjacent service lane intended for local or auxiliary traffic.
  • E. hasTrackLanes
    Indicates that an entity (such as a road or track) includes one or more designated lanes for vehicle or train movement.
  • F. None of above. chosen

Provenance (4 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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f66003a3f48190a2ba6da5aafbb5cb completed May 2, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
PDg Predicate description generation batch_69f65f75ac608190a62cd6afce14f68e completed May 2, 2026, 8:32 p.m.
Created at: April 27, 2026, 11:47 a.m.