Triple

T12929756
Position Surface form Disambiguated ID Type / Status
Subject Natuna Islands E309343 entity
Predicate largestSettlement P163 FINISHED
Object Ranai E1011416 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: Ranai | Statement: [Natuna Islands, largestSettlement, Ranai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranai
Context triple: [Natuna Islands, largestSettlement, Ranai]
  • A. Ranai chosen
    Ranai is the main town and administrative center of Indonesia’s remote Natuna Islands in the South China Sea.
  • B. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • C. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • D. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • E. Pirawa
    Pirawa is a town in the Jhalawar district of Rajasthan, India, serving as one of the region’s key local commercial and administrative centers.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97245b6408190816d9b7e314eb51a completed April 10, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d58a0c8190b96252f04fdf1256 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:42 p.m.