Triple

T4639016
Position Surface form Disambiguated ID Type / Status
Subject Region XI E101605 entity
Predicate hasCity P316 FINISHED
Object Mati E240758 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: Mati | Statement: [Region XI, hasCity, Mati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mati
Context triple: [Region XI, hasCity, Mati]
  • A. Mati chosen
    Mati is a coastal city in the Davao Region of the Philippines known for its beaches, surfing spots, and laid-back atmosphere.
  • B. Tinja
    Tinja is a small town in northern Tunisia known for its location near Lake Bizerte and its historical and ecological significance.
  • C. Huerva
    The Huerva is a river in northeastern Spain that flows through the province of Zaragoza before joining the Ebro River.
  • D. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • E. Ismaelillo
    Ismaelillo is a seminal 1882 poetry collection by Cuban writer and independence leader José Martí, often regarded as an early example of Latin American modernist literature.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacf3cb08190a080e5ed1063902f completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.