Triple

T8954487
Position Surface form Disambiguated ID Type / Status
Subject Arcadia regional unit E213437 entity
Predicate hasMountainRange P651 FINISHED
Object Mainalo E768059 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: Mainalo | Statement: [Arcadia regional unit, hasMountainRange, Mainalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainalo
Context triple: [Arcadia regional unit, hasMountainRange, Mainalo]
  • A. Mainalo chosen
    Mainalo is a prominent mountain range in the central Peloponnese of Greece, known for its forested slopes, traditional villages, and popularity as a destination for hiking and winter sports.
  • B. Moku Iki
    Moku Iki is one of the small offshore Mokulua islets near Lanikai on Oʻahu, known for its scenic volcanic landscape and seabird sanctuary status.
  • C. Kahola
    Kahola is an ancient Vedic sage mentioned in Hindu scriptures, notably as a participant in philosophical dialogues in the Upanishads.
  • D. Taiohae
    Taiohae is the main village and administrative center of Nuku Hiva in the Marquesas Islands of French Polynesia, known for its large bay and role as a regional hub.
  • E. Laukahi
    Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6724f3e4819092c6b13d80871e80 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93ed3308190a39069d7b7d4ea3d completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 7 p.m.