Triple

T13605641
Position Surface form Disambiguated ID Type / Status
Subject Palette Town E325053 entity
Predicate hasPart P35 FINISHED
Object VenusFort E325054 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: VenusFort | Statement: [Palette Town, hasPart, VenusFort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VenusFort
Context triple: [Palette Town, hasPart, VenusFort]
  • A. VenusFort chosen
    VenusFort was a Venice-themed shopping and entertainment mall in Tokyo’s Odaiba district, known for its faux European streetscape and outlet stores.
  • B. Venusia
    Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
  • C. Venus Victrix
    Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
  • D. Venus Cloacina
    Venus Cloacina is an aspect of the Roman goddess Venus associated with purification and the Cloaca Maxima, the great sewer of ancient Rome.
  • E. Platform of Venus
    The Platform of Venus is a pre-Columbian Maya ceremonial structure at Chichén Itzá, likely associated with astronomical observations and rituals linked to the planet Venus.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.