Triple

T6963580
Position Surface form Disambiguated ID Type / Status
Subject Waterbeach railway station E161431 entity
Predicate locatedIn P40 FINISHED
Object Waterbeach E161430 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: Waterbeach | Statement: [Waterbeach railway station, locatedIn, Waterbeach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterbeach
Context triple: [Waterbeach railway station, locatedIn, Waterbeach]
  • A. Waterbeach chosen
    Waterbeach is a village in Cambridgeshire, England, situated near the River Cam just north of Cambridge and served by its own railway station.
  • B. Shell Beach
    Shell Beach is a scenic sandy beach on the small Channel Island of Herm, known for its clear waters and tranquil, car-free surroundings.
  • C. Shell Beach
    Shell Beach is a small coastal community in San Luis Obispo County, California, known for its scenic cliffs, tide pools, and oceanfront views along the Pacific.
  • D. Peach Beach
    Peach Beach is a tropical, seaside racecourse in the Mario Kart series known for its sunny resort setting, palm trees, and hazardous Cataquacks.
  • E. Logon Beach
    Logon Beach is a popular white-sand shoreline and main public beach area on Malapascua Island in the Philippines, known for its relaxed atmosphere and access to local boats and dive trips.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf197b0819085bd0433c8a7f716 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a0e5bc819098206940fc3ac623 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.