Triple

T929302
Position Surface form Disambiguated ID Type / Status
Subject Ptolemaic system E20054 entity
Predicate modelsMotionOf P21510 FINISHED
Object Mercury E18768 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: Mercury | Statement: [Ptolemaic system, modelsMotionOf, Mercury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercury
Context triple: [Ptolemaic system, modelsMotionOf, Mercury]
  • A. Mercury
    Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
  • B. Mercury chosen
    Mercury is the smallest and innermost planet in our Solar System, known for its extreme temperature variations and heavily cratered surface.
  • C. Merkur
    Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
  • D. Venus
    Venus is the second planet from the Sun, known for its dense, toxic atmosphere, extreme surface temperatures, and bright visibility in Earth's sky.
  • E. Vulcan
    Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b74b789c8190b174f9b17dc46f9e completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119792d48190b5e942f2dd3fd34e completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:40 p.m.