Triple

T4674250
Position Surface form Disambiguated ID Type / Status
Subject Knights Hospitaller architecture E103638 entity
Predicate hasRegionalCenter P1474 FINISHED
Object Acre E57659 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: Acre | Statement: [Knights Hospitaller architecture, hasRegionalCenter, Acre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acre
Context triple: [Knights Hospitaller architecture, hasRegionalCenter, Acre]
  • A. Acre chosen
    Acre is an ancient port city on the Mediterranean coast of present-day Israel, renowned for its well-preserved Crusader and Ottoman architecture and its long, strategic history.
  • B. Luas
    Luas is Dublin’s modern light rail tram system, providing frequent urban and suburban public transport across the city and its surrounding areas.
  • C. Amapro
    Amapro is a Japanese production company known for its involvement in creating television and film projects such as the crime drama series "Tokyo Vice."
  • D. أوقية
    أوقية هي وحدة العملة الرسمية في موريتانيا وتُستخدم في التعاملات المالية اليومية في البلاد.
  • E. Patria Land
    Patria Land is a defense industry company specializing in the design and manufacture of armored vehicles and land-based military systems.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd635326808190bd6909117aca1208 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039896448190bdfd3a6cb76a8fbe completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:15 p.m.