Triple

T14606504
Position Surface form Disambiguated ID Type / Status
Subject Province of Pontevedra E342842 entity
Predicate contains P35 FINISHED
Object Tui E228978 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: Tui | Statement: [Province of Pontevedra, contains, Tui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tui
Context triple: [Province of Pontevedra, contains, Tui]
  • A. Tui chosen
    Tui is a historic town in northwestern Spain’s Galicia region, known for its medieval architecture and strategic location on the border with Portugal.
  • B. Tui Cakau
    Tui Cakau is the traditional paramount chiefly title of the Cakaudrove region in Fiji, held by one of the country’s highest-ranking indigenous chiefs.
  • C. Tanimaiaki
    Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
  • D. Rongo
    Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
  • E. Taura
    Taura is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d09e988190a2a2a1332397b412 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.