Triple

T13534028
Position Surface form Disambiguated ID Type / Status
Subject Dipolog E323212 entity
Predicate localLanguage P1252 FINISHED
Object Subanen E126716 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: Subanen | Statement: [Dipolog, localLanguage, Subanen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subanen
Context triple: [Dipolog, localLanguage, Subanen]
  • A. Subanen chosen
    The Subanen are an indigenous ethnic group in the southern Philippines known for their upland farming lifestyle, rich oral traditions, and distinct language and rituals.
  • B. Surobi
    Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
  • C. Sibunag
    Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
  • D. Shamiya
    Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
  • E. Subeita
    Subeita is an ancient Nabataean and Byzantine desert settlement in the Negev region of Israel, known for its well-preserved ruins and role along historic trade routes.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d980cac8190a7f7fda56abda361 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.