Triple

T18986652
Position Surface form Disambiguated ID Type / Status
Subject ஊவா மாகாணம் E464574 entity
Predicate largestCity P235 FINISHED
Object பதுளை 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: பதுளை | Statement: [ஊவா மாகாணம், largestCity, பதுளை]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: பதுளை
Context triple: [ஊவா மாகாணம், largestCity, பதுளை]
  • A. பதுளை chosen
    பதுளை என்பது இலங்கையின் மத்திய மலைநாட்டில் அமைந்துள்ள, தேயிலைத் தோட்டங்களும் குளிரான காலநிலையும் காரணமாகப் பிரபலமான ஒரு முக்கிய நகரமாகும்.
  • B. Vilupulli
    Vilupulli is a small locality on Chiloé Island in southern Chile, known for its traditional wooden architecture and historic church.
  • C. Padiyatalawa
    Padiyatalawa is a rural town in Sri Lanka’s Eastern Province known for its scenic highland landscapes and traditional agricultural communities.
  • D. Piyalap
    Piyalap is one of the small islands that make up Woleai Atoll in the Federated States of Micronesia.
  • E. Palali
    Palali is a town in northern Sri Lanka that serves as the civilian settlement adjacent to the Jaffna Peninsula’s main airport and military air base.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d660835c8190bedd78590b3e0a7e completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.