Triple

T5911246
Position Surface form Disambiguated ID Type / Status
Subject Argolis regional unit E131462 entity
Predicate containsArchaeologicalSite P11933 FINISHED
Object Lerna E215768 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: Lerna | Statement: [Argolis regional unit, containsArchaeologicalSite, Lerna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerna
Context triple: [Argolis regional unit, containsArchaeologicalSite, Lerna]
  • A. Lerna chosen
    Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
  • B. Dodona
    Dodona was an ancient Greek oracle and sanctuary in Epirus, renowned as one of the oldest religious sites dedicated to Zeus.
  • C. Delph
    Delph is a historic village in the Saddleworth area of Greater Manchester, England, known for its Pennine landscape and former textile mills.
  • D. Ascra
    Ascra was an ancient village in Boeotia, Greece, best known as the hometown of the poet Hesiod.
  • E. Oropos
    Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037767af08190b5678cff9fd0816f completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3912f94819086d88cf34a278d3c completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.