Triple

T28485767
Position Surface form Disambiguated ID Type / Status
Subject Long Stratton E720823 entity
Predicate hasRoadBypassPlanned P113407 FINISHED
Object Long Stratton bypass
Long Stratton bypass is a proposed road scheme intended to divert through-traffic around the village of Long Stratton in Norfolk, England, to reduce congestion and improve safety.
 E1820532 NE FINISHED

How this triple was built (3 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: Long Stratton bypass | Statement: [Long Stratton, hasRoadBypassPlanned, Long Stratton bypass]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Long Stratton bypass
Triple: [Long Stratton, hasRoadBypassPlanned, Long Stratton bypass]
Generated description
Long Stratton bypass is a proposed road scheme intended to divert through-traffic around the village of Long Stratton in Norfolk, England, to reduce congestion and improve safety.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRoadBypassPlanned
Context triple: [Long Stratton, hasRoadBypassPlanned, Long Stratton bypass]
  • A. isTollRoadPlanned
    Indicates that a road is intended or scheduled to become a toll road in the future.
  • B. roadBypassedInYear
    Indicates that a particular road was bypassed or replaced by an alternative route in the specified year.
  • C. hasNumberOfSlipRoads
    Indicates the number of slip roads (on/off ramps) associated with a particular road segment or junction.
  • D. roadConnectivityStatus
    Indicates the current state of whether and how well two locations are connected by a road network.
  • E. bypassesCity chosen
    Indicates that a route, road, or path goes around a city rather than passing directly through it.
  • F. None of above.

Provenance (6 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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f7764ab1fc81909f9348db87bd7692 completed May 3, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1641a2e7208190a02d004f25f24e2d completed May 27, 2026, 12:58 a.m.
NEDg Description generation batch_6a164360a9d08190adf3fa50148b8cd2 completed May 27, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a1644905e208190ad43890b9dbda231 completed May 27, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69f76905d9c88190b1ee810bc9ab644f completed May 3, 2026, 3:25 p.m.
Created at: April 28, 2026, 2:58 a.m.