Triple

T12055951
Position Surface form Disambiguated ID Type / Status
Subject Pella showrooms E287042 entity
Predicate brand P1500 FINISHED
Object Pella E53880 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: Pella | Statement: [Pella showrooms, brand, Pella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pella
Context triple: [Pella showrooms, brand, Pella]
  • A. Pella chosen
    Pella is a well-known American brand specializing in the design and manufacture of windows and doors for residential and commercial buildings.
  • B. Pella
    Pella is a small lakeside town in northern Italy, known for its scenic setting on the shores of Lake Orta and views toward the island of San Giulio.
  • C. Pella, Greece
    Pella, Greece is an ancient city in northern Greece that served as the capital of the Kingdom of Macedon and the birthplace of Alexander the Great.
  • D. City of Pella
    The City of Pella is a small Iowa community known for its strong Dutch heritage, historic architecture, and vibrant annual celebrations.
  • E. Charioupolis
    Charioupolis is a district of the city of Kalamaria in the Thessaloniki urban area of northern Greece.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.