Triple

T4639014
Position Surface form Disambiguated ID Type / Status
Subject Region XI E101605 entity
Predicate hasCity P316 FINISHED
Object Tagum E240757 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: Tagum | Statement: [Region XI, hasCity, Tagum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagum
Context triple: [Region XI, hasCity, Tagum]
  • A. Tagum chosen
    Tagum is a rapidly developing city in the southern Philippines known as the capital of Davao del Norte and a commercial and cultural hub in the Davao Region.
  • B. Maitum
    Maitum is a coastal municipality in the province of Sarangani in the Philippines, known for its archaeological sites and prehistoric anthropomorphic burial jars.
  • C. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • D. Talokan
    Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
  • E. Aguiguan
    Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
  • 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_69be036d7aa081908b4b361dbae8ebc7 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.