Triple

T15105255
Position Surface form Disambiguated ID Type / Status
Subject Al-Mansur Ibn Abi Aamir E360772 entity
Predicate deathPlace P21 FINISHED
Object Medinaceli E132802 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: Medinaceli | Statement: [Al-Mansur Ibn Abi Aamir, deathPlace, Medinaceli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medinaceli
Context triple: [Al-Mansur Ibn Abi Aamir, deathPlace, Medinaceli]
  • A. Medinaceli chosen
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • B. Mustafakemalpaşa
    Mustafakemalpaşa is a town and district in northwestern Turkey known for its agricultural production and historical connection to Mustafa Kemal Atatürk.
  • C. Karacabey
    Karacabey is a town and district in northwestern Turkey known for its agriculture and proximity to both the Marmara Sea and the city of Bursa.
  • D. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • E. Maltepe
    Maltepe is a residential and commercial district on Istanbul’s Asian side along the Sea of Marmara.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02f505c81908e3982b67456e81c completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 3:05 a.m.