Triple

T3840116
Position Surface form Disambiguated ID Type / Status
Subject Zagori E93429 entity
Predicate contains P35 FINISHED
Object Vitsa
Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
E393218 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: Vitsa | Statement: [Zagori, contains, Vitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitsa
Context triple: [Zagori, contains, Vitsa]
  • A. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • B. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • C. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • D. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • E. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • 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: Vitsa
Triple: [Zagori, contains, Vitsa]
Generated description
Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vitsa
Target entity description: Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
  • A. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • B. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • C. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • D. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • E. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040a8b808190874ad1a5152adf1f completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504b2ba748190af2df2a318ab0693 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b50534242c8190a1d4658e7896c2be completed March 14, 2026, 6:50 a.m.
Created at: March 9, 2026, 3:18 p.m.