Triple

T16711209
Position Surface form Disambiguated ID Type / Status
Subject Howdenshire E406109 entity
Predicate containsSettlement P847 FINISHED
Object Kilpin E1128048 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: Kilpin | Statement: [Howdenshire, containsSettlement, Kilpin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilpin
Context triple: [Howdenshire, containsSettlement, Kilpin]
  • A. Kilpin chosen
    Kilpin is an English surname most notably associated with Herbert Kilpin, the footballer who founded A.C. Milan.
  • B. Penteli
    Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
  • C. Kirkonkylä
    Kirkonkylä is the main village and administrative center of the municipality of Hailuoto in northern Finland.
  • D. Keilaniemi
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • E. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e386523fc08190a13a4232af191992 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a95180819099abd50dd153e229 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.