Triple

T16538892
Position Surface form Disambiguated ID Type / Status
Subject Heraklion regional unit E401767 entity
Predicate containsTown P847 FINISHED
Object Tympaki E407441 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: Tympaki | Statement: [Heraklion regional unit, containsTown, Tympaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tympaki
Context triple: [Heraklion regional unit, containsTown, Tympaki]
  • A. Timbaki chosen
    Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
  • B. Tumpat
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • C. Tyam
    Tyam is an alternative spelling or variant form of the name Thiam, commonly used as a personal or family name.
  • D. Tatumbla
    Tatumbla is a small town and municipality located in the central Honduran highlands within the Francisco Morazán Department.
  • E. Patigi
    Patigi is a town and local government area in central Nigeria known for its Nupe cultural heritage and proximity to the River Niger.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455a98b481909e489ea7bd01570a completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ae169c81909a123b7dfe3fd906 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.