Triple

T3546549
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary of Olympia E75009 entity
Predicate hasPart P35 FINISHED
Object Leonidaion E15443 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: Leonidaion | Statement: [Sanctuary of Olympia, hasPart, Leonidaion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonidaion
Context triple: [Sanctuary of Olympia, hasPart, Leonidaion]
  • A. Leonidaion chosen
    Leonidaion is an ancient guesthouse complex at Olympia in Greece, built in the 4th century BCE to accommodate distinguished visitors during the Olympic Games.
  • B. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • C. Ledaal
    Ledaal is a historic manor house in Stavanger, Norway, that has served as a royal residence and cultural landmark.
  • D. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • E. Marinos
    Marinos is the commonly used nickname for Yokohama F. Marinos, a prominent professional football club in Japan’s J1 League.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfcf64488190af8452308734028c completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be29b408190a8dba8c8ae2485a4 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.