Triple

T12817370
Position Surface form Disambiguated ID Type / Status
Subject Euromos E306435 entity
Predicate nearbyAncientCity P14422 FINISHED
Object Mylasa E306433 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: Mylasa | Statement: [Euromos, nearbyAncientCity, Mylasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mylasa
Context triple: [Euromos, nearbyAncientCity, Mylasa]
  • A. Mylasa chosen
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • B. Matareya
    Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
  • C. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • D. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • E. Mi'ilya
    Mi'ilya is a village in northern Israel, notable for its predominantly Christian Arab population and its location near the city of Ma'alot-Tarshiha.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecee33c8190a6bf045731bb9326 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.