Triple

T2001621
Position Surface form Disambiguated ID Type / Status
Subject Temple of Saturn E43483 entity
Predicate dedicatedTo P500 FINISHED
Object Saturn E23575 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: Saturn | Statement: [Temple of Saturn, dedicatedTo, Saturn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saturn
Context triple: [Temple of Saturn, dedicatedTo, Saturn]
  • A. Saturn
    Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
  • B. Saturn chosen
    Saturn is a gas giant planet known for its extensive and prominent ring system, orbiting the Sun as one of the outer planets in our Solar System.
  • C. Jupiter
    Jupiter was a British warship active during the late 18th century, notable for being captured in the naval Battle of Camperdown.
  • D. Jupiter
    Jupiter is the largest planet in our Solar System, a gas giant known for its Great Red Spot and many moons.
  • E. Malyi Saturn
    Malyi Saturn was a major Soviet World War II offensive on the Eastern Front aimed at encircling and destroying Axis forces following the Battle of Stalingrad.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb880c710819098fb877052ce56dc completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0adcd2708190b126e3872679d88c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.