Triple

T17205913
Position Surface form Disambiguated ID Type / Status
Subject Kastanitsa E417600 entity
Predicate region P40 FINISHED
Object Tsakonia E204997 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: Tsakonia | Statement: [Kastanitsa, region, Tsakonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsakonia
Context triple: [Kastanitsa, region, Tsakonia]
  • A. Tsakonia chosen
    Tsakonia is a small mountainous region in the eastern Peloponnese of Greece known as the traditional homeland of the Tsakonian-speaking community, whose language descends from ancient Doric Greek.
  • B. Rodaki
    Rodaki is a village in southern Poland located within the administrative district of Gmina Klucze in Lesser Poland Voivodeship.
  • C. Kranidi
    Kranidi is a coastal town in the Argolid region of the Peloponnese in Greece, known as a local administrative and commercial center near popular seaside resorts like Porto Heli.
  • D. Tsioti
    Tsioti is the former name of the town now known as Farkadona in central Greece.
  • E. Xaratanga
    Xaratanga is a principal goddess in the Purépecha (Tarascan) pantheon, associated with fertility, the moon, and the sea in pre-Columbian western Mexico.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc0bea8819090946615a14b2d86 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.