Triple

T22108280
Position Surface form Disambiguated ID Type / Status
Subject Kilmore, Sleat E546345 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Ardvasar E1499938 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: Ardvasar | Statement: [Kilmore, Sleat, hasNearbySettlement, Ardvasar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardvasar
Context triple: [Kilmore, Sleat, hasNearbySettlement, Ardvasar]
  • A. Ardvasar chosen
    Ardvasar is a small coastal village on the Isle of Skye in Scotland, known as a ferry port for crossings to the mainland.
  • B. Argavand
    Argavand is a settlement in Armenia situated along the Hrazdan River.
  • C. Belpahar
    Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
  • D. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • E. Khansar
    Khansar is a historic city in central Iran known for its traditional architecture, cool climate, and production of honey and dairy products.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291adc74819092c7753bb6f3768d completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87ac12e881909ba2c0de6f3b26f5 completed May 18, 2026, 3:29 a.m.
Created at: April 16, 2026, 8:30 p.m.