Triple

T13088014
Position Surface form Disambiguated ID Type / Status
Subject Bataan E310386 entity
Predicate hasMunicipality P847 FINISHED
Object Samal E317272 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: Samal | Statement: [Bataan, hasMunicipality, Samal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samal
Context triple: [Bataan, hasMunicipality, Samal]
  • A. Samal chosen
    Samal is a municipality in the Philippine province of Bataan known for its agricultural economy and local cottage industries.
  • B. Samal
    Samal refers to the Sama people, a seafaring Austronesian ethnic group of Maritime Southeast Asia known for their traditional boat-dwelling lifestyle.
  • C. Sam’al
    Sam’al was an important Iron Age city-state and archaeological site in the Syro-Anatolian region, known for its monumental architecture and distinctive Aramaic and Luwian inscriptions.
  • D. Samini
    Samini is a Ghanaian reggae and dancehall recording artist known for pioneering the genre in Ghana and winning multiple international music awards.
  • E. Samil
    Samil is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:02 p.m.