Triple

T14138818
Position Surface form Disambiguated ID Type / Status
Subject Ágora E350366 entity
Predicate translationOfName P15 FINISHED
Object Agora E762903 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: Agora | Statement: [Ágora, translationOfName, Agora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agora
Context triple: [Ágora, translationOfName, Agora]
  • A. Agora
    Agora is the industry-focused market and networking hub of the Thessaloniki International Film Festival, dedicated to supporting film professionals and promoting new projects.
  • B. Agora chosen
    Agora is a 2009 historical drama film set in Roman Egypt that explores religious conflict and the life of philosopher Hypatia.
  • C. Agoro
    Agoro is a character featured as a component of the work "Necessary Evil."
  • D. Agora Industry
    Agora Industry is the Thessaloniki International Film Festival’s professional industry platform, dedicated to supporting film development, production, and networking among filmmakers and audiovisual professionals.
  • E. Ágora
    Ágora is a striking, futuristic multi-purpose event and exhibition space in Valencia, Spain, designed by Santiago Calatrava as part of the City of Arts and Sciences complex.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6111a36081909beff35c88a56960 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf16079c819080a74cd8a6eb37a6 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:40 a.m.