Triple

T22055855
Position Surface form Disambiguated ID Type / Status
Subject Spain–Portugal border E545007 entity
Predicate passesNearCity P3945 FINISHED
Object Tui 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: Tui | Statement: [Spain–Portugal border, passesNearCity, Tui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tui
Context triple: [Spain–Portugal border, passesNearCity, 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. Touo
    Touo is an Oceanic language spoken in the Solomon Islands, known for its distinct phonology and grammar within the region’s Papuan and Austronesian linguistic mix.
  • E. Rongo
    Rongo is a major Polynesian deity commonly associated with cultivated food, especially sweet potatoes, as well as peace and agriculture.
  • 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_69f1285790948190b21abfb09abbb5e5 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:26 p.m.