Triple

T17212809
Position Surface form Disambiguated ID Type / Status
Subject Patara Beach E417773 entity
Predicate locatedNear P294 FINISHED
Object Patara E325079 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: Patara | Statement: [Patara Beach, locatedNear, Patara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patara
Context triple: [Patara Beach, locatedNear, Patara]
  • A. Patara chosen
    Patara was an important ancient port city of Lycia on the southwestern coast of modern-day Turkey, known as a major maritime and commercial center and later as a significant site in early Christianity.
  • B. Patara Beach
    Patara Beach is a long, unspoiled stretch of sand on Turkey’s Mediterranean coast, renowned for its natural beauty, protected dunes, and nesting loggerhead sea turtles.
  • C. Zefta
    Zefta is a village located in southern Lebanon within the Nabatieh Governorate.
  • D. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • E. Kamarina
    Kamarina is a modern settlement in the Epirus region of northwestern Greece, located near the archaeological site of ancient Cassope.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc68a2c81908564231853b40db9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674fadc48190aa4a627ec9f72341 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.