Triple

T945259
Position Surface form Disambiguated ID Type / Status
Subject Celebes Sea E20396 entity
Predicate hasBorderingCity P15361 FINISHED
Object General Santos E48369 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: General Santos | Statement: [Celebes Sea, hasBorderingCity, General Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Santos
Context triple: [Celebes Sea, hasBorderingCity, General Santos]
  • A. Cebu
    Cebu is a major island and province in the central Philippines known for its historic role in Spanish colonization, vibrant urban center Cebu City, and popular beach and dive tourism.
  • B. Lapu-Lapu City
    Lapu-Lapu City is a highly urbanized city in the province of Cebu in the Philippines, known for its historical significance as the site of the Battle of Mactan and as a major tourism and economic hub.
  • C. Soccsksargen chosen
    Soccsksargen is an administrative region in south-central Mindanao in the Philippines, known for its diverse cultures, agricultural productivity, and coastal economic centers such as General Santos City.
  • D. Naga City
    Naga City is a major urban center in the Bicol Region of the Philippines, known as a cultural, religious, and educational hub.
  • E. Quezon City
    Quezon City is a major urban center in Metro Manila known for hosting many national government institutions, universities, and media networks in the Philippines.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74fc204819083dbed5c19c4bc15 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e7d55c8190b9b871caead76733 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.