Triple

T156261
Position Surface form Disambiguated ID Type / Status
Subject Solar System E3187 entity
Predicate hasPlanet P7294 FINISHED
Object Neptune E21590 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: Neptune | Statement: [Solar System, hasPlanet, Neptune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neptune
Context triple: [Solar System, hasPlanet, Neptune]
  • A. Neptune chosen
    Neptune is the eighth and farthest known major planet from the Sun, a cold, blue ice giant characterized by strong winds and a dynamic atmosphere.
  • B. Uranus
    Uranus is an ice giant planet in our Solar System, notable for its pale blue-green color and extreme axial tilt that causes it to rotate on its side.
  • C. Pluto
    Pluto is a distant, icy dwarf planet in the Kuiper Belt known for its eccentric orbit and former status as the ninth planet of the Solar System.
  • D. Saturn
    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.
  • E. Saturn
    Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bac998c819099f2bed899220a78 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc33a10819087668612b65e1eb5 completed Feb. 28, 2026, 3:41 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.