Triple

T17212623
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Marshal, 4th Earl of Pembroke E417768 entity
Predicate governedTerritory P10006 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: [Gilbert Marshal, 4th Earl of Pembroke, governedTerritory, Pembroke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pembroke
Context triple: [Gilbert Marshal, 4th Earl of Pembroke, governedTerritory, 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 Canadian city in eastern Ontario known for its location along the Ottawa River and its role as a regional service and cultural center.
  • D. Pembroke
    Pembroke is a given name most notably borne by American film editor Pembroke J. Herring, known for his work on numerous major Hollywood productions.
  • E. Pembroke
    "Pembroke" is an 1894 realist novel by Mary E. Wilkins Freeman that portrays the social dynamics, moral conflicts, and everyday life of a small New England village.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc68a2c81908564231853b40db9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674fadc48190aa4a627ec9f72341 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.