Triple

T23764591
Position Surface form Disambiguated ID Type / Status
Subject Aynho E587341 entity
Predicate hasNearbyRailwayJunction P82238 FINISHED
Object Aynho Junction
Aynho Junction is a railway junction in Oxfordshire, England, where the Chiltern Main Line diverges toward different routes near the village of Aynho.
 E1599477 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: Aynho Junction | Statement: [Aynho, hasNearbyRailwayJunction, Aynho Junction]
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: Aynho Junction
Triple: [Aynho, hasNearbyRailwayJunction, Aynho Junction]
Generated description
Aynho Junction is a railway junction in Oxfordshire, England, where the Chiltern Main Line diverges toward different routes near the village of Aynho.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyRailwayJunction
Context triple: [Aynho, hasNearbyRailwayJunction, Aynho Junction]
  • A. hasNearbyRailway
    Indicates that one entity is located close to a railway associated with or relevant to another entity.
  • B. hasNearbyRailwayStation
    Indicates that a railway station is located within a short or convenient distance from the referenced entity.
  • C. nearestMajorRailwayJunction chosen
    Indicates the closest significant railway junction in terms of distance from a given location or entity.
  • D. nearestRailwayTerminus
    Indicates that one location is the closest railway terminus to another specified place.
  • E. connectsToRailStation
    Indicates that one entity has a direct link, route, or access connection to a rail station.
  • 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_69e2490b8ac48190a6b35f1d5500486b completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bdb4e9248190b64b063637b66702 completed April 29, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53de310081908831294237d2c388 completed May 21, 2026, 6:50 p.m.
NEDg Description generation batch_6a0f5558f50c8190a268fbcde798512e completed May 21, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f56691aa08190b46a9ad2c3dce1d0 completed May 21, 2026, 7 p.m.
PD Predicate disambiguation batch_69f155f79e34819080f9ddb972b34deb completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:15 p.m.