Triple

T17594266
Position Surface form Disambiguated ID Type / Status
Subject Princess of Achaea E428526 entity
Predicate hasTitleOver P128143 FINISHED
Object Morea 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: Morea | Statement: [Princess of Achaea, hasTitleOver, Morea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morea
Context triple: [Princess of Achaea, hasTitleOver, Morea]
  • A. Morea chosen
    Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
  • B. Capurso
    Capurso is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. Fabrezan
    Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
  • D. Provadia
    Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
  • E. Populonia
    Populonia was an important ancient coastal city of Etruria, known for its maritime trade, metalworking, and strategic position on the Tyrrhenian Sea.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ea1ac8819083b8449ccdaf2445 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.