Triple

T19633286
Position Surface form Disambiguated ID Type / Status
Subject Mirs Bay E471323 entity
Predicate hasIsland P970 FINISHED
Object Tap Mun NE NERFINISHED

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: Tap Mun | Statement: [Mirs Bay, hasIsland, Tap Mun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tap Mun
Context triple: [Mirs Bay, hasIsland, Tap Mun]
  • A. Tap Mun chosen
    Tap Mun, also known as Grass Island, is a small, scenic island in Hong Kong famed for its grassy headlands, traditional fishing village, and popular hiking and camping spots.
  • B. Tapul
    Tapul is a small island municipality in the province of Sulu in the southern Philippines.
  • C. Ta Mok
    Ta Mok was a senior Khmer Rouge military commander and notorious hardliner who played a key role in the brutal regime of Democratic Kampuchea.
  • D. Tapini
    Tapini is a small highland town in Papua New Guinea known as the administrative center of the Goilala District in Central Province.
  • E. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6410449ec8190b8c20c0e09cd9156 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.