Triple

T6851853
Position Surface form Disambiguated ID Type / Status
Subject Mount Harriet National Park E158037 entity
Predicate namedAfter P63 FINISHED
Object Mount Harriet E319436 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: Mount Harriet | Statement: [Mount Harriet National Park, namedAfter, Mount Harriet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Harriet
Context triple: [Mount Harriet National Park, namedAfter, Mount Harriet]
  • A. Mount Harriet chosen
    Mount Harriet is a notable peak in the Falkland Islands that gained prominence as a key location during the 1982 Falklands War.
  • B. Mount Catherine
    Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
  • C. Vankleek Hill
    Vankleek Hill is a small Ontario town known for its historic Victorian architecture, vibrant arts scene, and annual festivals such as the Vankleek Hill Fair and Oktoberfest.
  • D. Science Hill
    Science Hill is a major academic area of Yale University that houses many of the university’s science departments, laboratories, and research facilities.
  • E. Mount Royal
    Mount Royal is a prominent hill and urban park in the heart of Montreal, known as a central natural landmark and namesake of the city.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84e6fb08190915954be5b0df2d8 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fd2800c8190997c0bc7ff3e1491 completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:20 p.m.