Triple

T12819247
Position Surface form Disambiguated ID Type / Status
Subject Freshwater West beach E306483 entity
Predicate hasNearbyTown P3883 FINISHED
Object Pembroke E89541 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: Pembroke | Statement: [Freshwater West beach, hasNearbyTown, Pembroke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pembroke
Context triple: [Freshwater West beach, hasNearbyTown, Pembroke]
  • A. Pembroke chosen
    Pembroke is a historic town in southwest Wales best known as the birthplace of King Henry VII of England and for its prominent medieval castle.
  • B. Pembroke
    Pembroke is a suburban town in southeastern Massachusetts known for its residential character, ponds, and historic New England charm.
  • C. Pembroke
    Pembroke is a small city in southeastern Georgia that serves as the administrative and governmental center of Bryan County.
  • D. Pembroke
    Pembroke is a small rural city located in Christian County in southwestern Kentucky, United States.
  • E. Pembroke
    Pembroke is a small Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9e5a2481908921d097df541db8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed165188190a4cac781c753fb23 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.