Triple

T13712818
Position Surface form Disambiguated ID Type / Status
Subject Catarman E328815 entity
Predicate distanceTo P350 FINISHED
Object Tacloban City E114874 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: Tacloban City | Statement: [Catarman, distanceTo, Tacloban City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacloban City
Context triple: [Catarman, distanceTo, Tacloban City]
  • A. Tacloban chosen
    Tacloban is a highly urbanized coastal city in the Eastern Visayas region of the Philippines, known as a regional center and for being severely impacted by Typhoon Haiyan in 2013.
  • B. Catbalogan
    Catbalogan is a coastal city in the Philippines that serves as the capital and commercial hub of Samar province.
  • C. Surigao City
    Surigao City is a coastal city in the Caraga region of northeastern Mindanao in the Philippines, known as the “City of Island Adventures” for its numerous islands, beaches, and marine attractions.
  • D. 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.
  • E. Talisay City
    Talisay City is a coastal component city in the province of Cebu in the Philippines, known for its historical significance and proximity to Metro Cebu.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02b55f4819098f2b18fcf17ef0e completed May 9, 2026, 10:07 p.m.
Created at: April 9, 2026, 9:54 p.m.