Triple

T872215
Position Surface form Disambiguated ID Type / Status
Subject Boer Wars E18837 entity
Predicate theatreOfWar P687 FINISHED
Object Natal E15763 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: Natal | Statement: [Boer Wars, theatreOfWar, Natal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natal
Context triple: [Boer Wars, theatreOfWar, Natal]
  • A. Natal chosen
    Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
  • B. Lindos
    Lindos is a historic coastal village on the Greek island of Rhodes, famed for its ancient acropolis, whitewashed houses, and scenic beaches.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Palmer
    Palmer is an English surname borne by numerous notable figures, including politicians, artists, and scientists, and is derived from medieval pilgrims who carried palm branches.
  • E. Savannah
    Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac96850881908a2d776685126137 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84fb2d0819084c256023bc23dc5 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.