Triple

T11552519
Position Surface form Disambiguated ID Type / Status
Subject Wylde Green railway station E273931 entity
Predicate serves P98 FINISHED
Object Wylde Green E822777 NE 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: Wylde Green | Statement: [Wylde Green railway station, serves, Wylde Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wylde Green
Context triple: [Wylde Green railway station, serves, Wylde Green]
  • A. Wylde Green chosen
    Wylde Green is a suburban railway station in the West Midlands, England, serving the Wylde Green area of Sutton Coldfield on the Cross-City Line.
  • B. Hoggen Green
    Hoggen Green is the former name of College Green, a historic public space in central Dublin, Ireland.
  • C. Joydens Wood
    Joydens Wood is a residential area and ancient woodland on the border of Kent and southeast London, known for its historic forest, walking trails, and suburban housing.
  • D. Bagshot Green
    Bagshot Green is a local green space and recreational area serving the community of Bagshot in Surrey, England.
  • E. Hatfield Heath
    Hatfield Heath is a village and civil parish in the Uttlesford district of Essex, England, known for its large village green and rural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
Created at: April 8, 2026, 9:37 p.m.