Triple

T9748417
Position Surface form Disambiguated ID Type / Status
Subject Cebu region E236374 entity
Predicate contains P35 FINISHED
Object Carcar E261526 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: Carcar | Statement: [Cebu region, contains, Carcar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carcar
Context triple: [Cebu region, contains, Carcar]
  • A. Araba
    Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
  • B. Azuga
    Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
  • C. Carcar City chosen
    Carcar City is a component city in the southern part of Cebu province in the Philippines, known for its heritage houses and local delicacies such as chicharrón.
  • D. Laris
    Laris is a Romulan former Tal Shiar operative who serves as Jean-Luc Picard’s loyal housekeeper, confidante, and ally in the series Star Trek: Picard.
  • E. Auta
    Auta is a small settlement on the island of Mitiaro in the Cook Islands.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.