Triple

T12967193
Position Surface form Disambiguated ID Type / Status
Subject Muğla Province E321290 entity
Predicate containsAncientSite P1098 FINISHED
Object Euromos E306435 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: Euromos | Statement: [Muğla Province, containsAncientSite, Euromos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euromos
Context triple: [Muğla Province, containsAncientSite, Euromos]
  • A. Euromos chosen
    Euromos was an ancient Greek city in the region of Caria in southwestern Asia Minor, noted especially for its well-preserved Temple of Zeus.
  • B. Europaeum
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • C. Eurosam
    Eurosam is a European defense consortium specializing in the design and production of advanced surface-to-air missile systems.
  • D. Europa Reach
    Europa Reach is a specific waterway or passage within the Douglas Channel system, likely serving as one of its navigable reaches along the British Columbia coast.
  • E. Evra
    Evra is a French former professional footballer best known for his successful career as a left-back with Manchester United and the French national team.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e3f702481908f0f90f4f12d3f4d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e4e1a48190b8f7253717746295 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:30 p.m.