Triple

T19111741
Position Surface form Disambiguated ID Type / Status
Subject Paxos E467806 entity
Predicate hasVillage P4011 FINISHED
Object Magazia 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: Magazia | Statement: [Paxos, hasVillage, Magazia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magazia
Context triple: [Paxos, hasVillage, Magazia]
  • A. Magazia chosen
    Magazia is a small village on the Greek island of Paxos, known for its traditional character and tranquil, rural setting.
  • B. Masi Magam
    Masi Magam is a Hindu festival, particularly prominent in Tamil Nadu, marked by sacred river and sea baths and special temple rituals for deities taken out in procession.
  • C. Almazán
    Almazán is a historic town in the province of Soria, Castile and León, Spain, known for its medieval heritage and role in regional political agreements.
  • D. Mags
    Mags is a common diminutive or nickname for the given name Madeleine.
  • E. Magan
    Magan was an ancient Bronze Age region, likely in present-day Oman or the surrounding Arabian Peninsula, known as a key maritime trading partner of the Indus Valley Civilization and Mesopotamia.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.