Triple

T14140456
Position Surface form Disambiguated ID Type / Status
Subject Bitterne E350407 entity
Predicate hasNearbyArea P4647 FINISHED
Object Sholing E350406 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: Sholing | Statement: [Bitterne, hasNearbyArea, Sholing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sholing
Context triple: [Bitterne, hasNearbyArea, Sholing]
  • A. Sholing chosen
    Sholing is a residential suburb in the eastern part of Southampton, England, known for its housing estates, local schools, and community amenities.
  • B. Port Dickson
    Port Dickson is a coastal resort town in Malaysia known for its beaches and seaside tourism along the Strait of Malacca.
  • C. Marina Bay
    Marina Bay is a waterfront neighborhood and marina district in Richmond, California, known for its residential developments, shoreline parks, and views of the San Francisco Bay.
  • D. Kranji
    Kranji is a largely rural area in northwestern Singapore known for its nature reserves, farms, and military memorials.
  • E. Willingdon Island
    Willingdon Island is a major artificial island in Kochi, India, known as a key hub for the region’s port, naval, and commercial activities.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6111a36081909beff35c88a56960 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf18e3d08190b287e2da192d05eb completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:45 a.m.