Triple

T22057351
Position Surface form Disambiguated ID Type / Status
Subject Phylonoe E545054 entity
Predicate region P40 FINISHED
Object Laconia NE NERFINISHED

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: Laconia | Statement: [Phylonoe, region, Laconia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laconia
Context triple: [Phylonoe, region, Laconia]
  • A. Laconia chosen
    Laconia is a historical region in the southeastern Peloponnese of Greece, best known as the homeland of ancient Sparta.
  • B. Laconia
    Laconia is a small city in central New Hampshire known for its location in the Lakes Region and its proximity to major recreational areas like Lake Winnipesaukee.
  • C. Laconia
    Laconia is a residential neighborhood in the Northeast Bronx of New York City, characterized by low-rise housing and a suburban feel.
  • D. Scutia
    Scutia is a small genus of flowering shrubs and small trees in the buckthorn family, known for species with spiny branches and use in traditional medicine.
  • E. Crenea
    Crenea is a small genus of flowering plants in the loosestrife family Lythraceae, native to tropical regions of the Americas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128588e0081909056ac8251afe935 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.