Triple

T1294428
Position Surface form Disambiguated ID Type / Status
Subject Giant Forest E27621 entity
Predicate containsTree P6706 FINISHED
Object Lincoln Tree E118194 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: Lincoln Tree | Statement: [Giant Forest, containsTree, Lincoln Tree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lincoln Tree
Context triple: [Giant Forest, containsTree, Lincoln Tree]
  • A. Lincoln Tree chosen
    Lincoln Tree is a massive giant sequoia located in the Giant Forest of Sequoia National Park in California.
  • B. McKinley Tree
    The McKinley Tree is a notable giant sequoia in California’s Giant Forest, recognized as one of the largest and most impressive trees in the world.
  • C. Franklin Tree
    Franklin Tree is a notable giant sequoia located in the Giant Forest of California’s Sequoia National Park.
  • D. The President Tree
    The President Tree is one of the largest and oldest known giant sequoia trees in California’s Giant Forest of Sequoia National Park.
  • E. Washington Tree
    Washington Tree is a notable giant sequoia in Sequoia National Park’s Giant Forest, once among the largest trees in the world before suffering major fire damage.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48bec548190b25d4a74b323cc1b completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc1e7948190a1ecd240c751d258 completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.