Triple

T13826851
Position Surface form Disambiguated ID Type / Status
Subject Riverbend Park E332272 entity
Predicate town P3385 FINISHED
Object Jupiter E1058148 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: Jupiter | Statement: [Riverbend Park, town, Jupiter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jupiter
Context triple: [Riverbend Park, town, Jupiter]
  • A. Jupiter
    Jupiter was a British warship active during the late 18th century, notable for being captured in the naval Battle of Camperdown.
  • B. Jupiter
    Jupiter is the chief god of ancient Roman religion, associated primarily with the sky, thunder, and kingship.
  • C. Jupiter
    Jupiter is the largest planet in our Solar System, a gas giant known for its Great Red Spot and many moons.
  • D. Jupiter chosen
    Jupiter is a coastal town in southeastern Florida known for its beaches, lighthouse, and waterfront parks.
  • E. Jupiter
    Jupiter is the codename for Microsoft's Handheld PC 2000 platform, a Windows CE–based operating system designed for clamshell-style handheld computers released around 2000.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e85c6c81908bdf5d43b917d151 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.