Triple

T1648025
Position Surface form Disambiguated ID Type / Status
Subject South Oxfordshire E35625 entity
Predicate containsSettlement P847 FINISHED
Object Thame E35624 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: Thame | Statement: [South Oxfordshire, containsSettlement, Thame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thame
Context triple: [South Oxfordshire, containsSettlement, Thame]
  • A. Thame chosen
    Thame is a historic market town in Oxfordshire, England, known for its traditional architecture and vibrant local community.
  • B. Gavinana
    Gavinana is a residential district in the southeastern part of Florence, Italy, known for its modern urban layout and proximity to the Arno River.
  • C. Nelspruit
    Nelspruit is a city in northeastern South Africa, now known as Mbombela, noted as a regional hub near Kruger National Park and for hosting matches during the 2010 FIFA World Cup.
  • D. Khami River
    The Khami River is a watercourse in southwestern Zimbabwe that flows near the historic Khami Ruins, an important archaeological site of the precolonial Torwa state.
  • E. Umgeni River
    The Umgeni River is a major river in South Africa that flows through KwaZulu-Natal to the Indian Ocean, passing through the city of Durban and supporting important ecological and urban systems.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a640ea88190822906da575d5165 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a73a288190a659e2a1f09ba524 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:29 p.m.