Triple

T8514528
Position Surface form Disambiguated ID Type / Status
Subject Lychnidus E201538 entity
Predicate connectedTo P37 FINISHED
Object Pella E19762 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: [Lychnidus, connectedTo, Pella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pella
Context triple: [Lychnidus, connectedTo, Pella]
  • A. Pella
    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 chosen
    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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60e12848190a4a3dfa457aef275 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e56ef088190b4f938486bbb7962 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.