Triple

T22606631
Position Surface form Disambiguated ID Type / Status
Subject Matarraña comarca E566578 entity
Predicate containsSettlement P847 FINISHED
Object Beceite NE NERFINISHED

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: Beceite | Statement: [Matarraña comarca, containsSettlement, Beceite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beceite
Context triple: [Matarraña comarca, containsSettlement, Beceite]
  • A. Beceite chosen
    Beceite is a historic village in the Matarranya comarca of Aragon, Spain, known for its well-preserved stone architecture and scenic mountain and river landscapes.
  • B. Bevercé
    Bevercé is a village in the municipality of Malmedy in the province of Liège, in the French-speaking Walloon region of Belgium.
  • C. Beçin
    Beçin is a historic town in southwestern Anatolia known for its medieval fortress and role as an important political and cultural center during the Turkish beylik period.
  • D. Beita
    Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
  • E. Cebesoy
    Cebesoy is a Turkish surname most notably associated with Ali Fuat Cebesoy, an important military commander and politician in the early Turkish Republic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:54 p.m.