Triple

T2467709
Position Surface form Disambiguated ID Type / Status
Subject Pella ProLine E55291 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 ProLine, brand, Pella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pella
Context triple: [Pella ProLine, 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, 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.
  • C. City of Pella
    The City of Pella is a small Iowa community known for its strong Dutch heritage, historic architecture, and vibrant annual celebrations.
  • D. Pherae
    Pherae was an ancient Greek city in Thessaly known for its political influence and as the seat of the powerful tyrant Jason of Pherae.
  • E. Stagira
    Stagira was an ancient Greek city in Chalcidice, best known as the birthplace of the philosopher Aristotle.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd13310a8819095fd70672f933aa3 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179f90e881909c09edb961b13a75 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.