Triple

T87764
Position Surface form Disambiguated ID Type / Status
Subject Bourne Bridge E1763 entity
Predicate hasTrafficDirection P4069 FINISHED
Object bidirectional 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: bidirectional | Statement: [Bourne Bridge, hasTrafficDirection, bidirectional]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTrafficDirection
Context triple: [Bourne Bridge, hasTrafficDirection, bidirectional]
  • A. hasLanes
    Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
  • B. trafficType
    Indicates the category or nature of traffic involved in a given interaction, flow, or connection (e.g., type of network, data, or transport traffic).
  • C. drivingSide
    Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
  • D. originalTrafficType
    Indicates the initial category or source classification of traffic before any changes, redirects, or reattributions occur.
  • E. hasTollSegment
    Indicates that a route, road, or path includes a segment where a toll must be paid.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2503d304c8190a0034ffa4a38a501 completed Feb. 28, 2026, 2:17 a.m.
PD Predicate disambiguation batch_69a24eb6da2c8190a33d144d219f7abe completed Feb. 28, 2026, 2:11 a.m.
PDg Predicate description generation batch_69a2503c12808190a3cbb7b171f466f0 completed Feb. 28, 2026, 2:17 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.