Triple

T799607
Position Surface form Disambiguated ID Type / Status
Subject Macedonia (Greece) E17099 entity
Predicate containsCity P294 FINISHED
Object Florina
Florina is a town in northern Greece known for its mountainous landscape, cold winters, and role as a regional cultural and administrative center.
 E109166 NE FINISHED

How this triple was built (4 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: Florina | Statement: [Macedonia (Greece), containsCity, Florina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Florina
Context triple: [Macedonia (Greece), containsCity, Florina]
  • A. Larissa
    Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
  • B. Ardahan
    Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
  • C. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • D. Giannitsa
    Giannitsa is a town in northern Greece that serves as an important agricultural and commercial center in the region of Central Macedonia.
  • E. Zagori
    Zagori is a mountainous region in northwestern Greece renowned for its traditional stone villages, arched bridges, and dramatic natural landscapes within Epirus.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Florina
Triple: [Macedonia (Greece), containsCity, Florina]
Generated description
Florina is a town in northern Greece known for its mountainous landscape, cold winters, and role as a regional cultural and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Florina
Target entity description: Florina is a town in northern Greece known for its mountainous landscape, cold winters, and role as a regional cultural and administrative center.
  • A. Larissa
    Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
  • B. Ardahan
    Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
  • C. Kalambaka
    Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
  • D. Giannitsa
    Giannitsa is a town in northern Greece that serves as an important agricultural and commercial center in the region of Central Macedonia.
  • E. Zagori
    Zagori is a mountainous region in northwestern Greece renowned for its traditional stone villages, arched bridges, and dramatic natural landscapes within Epirus.
  • F. None of above. chosen

Provenance (5 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7cb26dc8190bdd3a278b8695873 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfae07c8190b104c869302cd486 completed March 4, 2026, 8:31 a.m.
NEDg Description generation batch_69a7eee00d088190a9ee3d521a974459 completed March 4, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69a7f1242e7c81908de2d09cadbe070e completed March 4, 2026, 8:45 a.m.
Created at: March 1, 2026, 7:38 p.m.