Triple

T14783287
Position Surface form Disambiguated ID Type / Status
Subject Jennycliff Bay E347444 entity
Predicate nearbySettlement P350 FINISHED
Object Turnchapel E1068902 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: Turnchapel | Statement: [Jennycliff Bay, nearbySettlement, Turnchapel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turnchapel
Context triple: [Jennycliff Bay, nearbySettlement, Turnchapel]
  • A. Turnchapel chosen
    Turnchapel is a small coastal village and former naval fuel depot area located on the southern edge of Plymouth, England.
  • B. Harrowgate
    Harrowgate is a neighborhood in North Philadelphia, Pennsylvania, known for its historic roots as an early industrial and residential area.
  • C. Ingatestone
    Ingatestone is a historic village and civil parish in southeast England known for its traditional architecture and commuter links to London.
  • D. Oakengates
    Oakengates is a small town in Shropshire, England, now effectively part of the Telford urban area.
  • E. Shadoxhurst
    Shadoxhurst is a rural village and civil parish in the Ashford district of Kent, England, known for its woodland surroundings and traditional English countryside 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d02e28081909a11d6e6fdb8d28c completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.