Triple

T6783796
Position Surface form Disambiguated ID Type / Status
Subject Marshfield E155749 entity
Predicate borders P224 FINISHED
Object Pembroke E155750 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: [Marshfield, borders, Pembroke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pembroke
Context triple: [Marshfield, borders, Pembroke]
  • A. Pembroke
    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 chosen
    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 Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • E. Cardigan
    Cardigan is a historic coastal town in west Wales known for its medieval castle, riverside setting on the Teifi, and role as a cultural and market center for the surrounding region.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d5557881909614819deb335534 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:14 p.m.