Triple

T3354208
Position Surface form Disambiguated ID Type / Status
Subject Chios E70567 entity
Predicate hasMedievalVillage P4011 FINISHED
Object Mesta
Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
 E351769 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: Mesta | Statement: [Chios, hasMedievalVillage, Mesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mesta
Context triple: [Chios, hasMedievalVillage, Mesta]
  • A. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • B. Muralto
    Muralto is a small Swiss municipality on Lake Maggiore in the canton of Ticino, known as a lakeside resort town.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • E. Mezzegra
    Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
  • 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: Mesta
Triple: [Chios, hasMedievalVillage, Mesta]
Generated description
Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mesta
Target entity description: Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
  • A. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • B. Muralto
    Muralto is a small Swiss municipality on Lake Maggiore in the canton of Ticino, known as a lakeside resort town.
  • C. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • D. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • E. Mezzegra
    Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb24036848190bac779d17dfdce3b completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325373a1c8190b26d883e2f0dd92b completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b329016c7c819098b494ae5d712036 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b329aca800819091f287a2f00557a2 completed March 12, 2026, 9:01 p.m.
Created at: March 8, 2026, 3:13 p.m.