Triple

T11349549
Position Surface form Disambiguated ID Type / Status
Subject Catalan domains in Greece E268804 entity
Predicate hasPart P35 FINISHED
Object Lidoriki
Lidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
 E920247 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: Lidoriki | Statement: [Catalan domains in Greece, hasPart, Lidoriki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lidoriki
Context triple: [Catalan domains in Greece, hasPart, Lidoriki]
  • A. Lagonisi
    Lagonisi is a coastal resort town in the Athens metropolitan area of Greece, known for its beaches and holiday homes along the Saronic Gulf.
  • B. Liadi
    Liadi is a historic town in present-day Belarus best known as the early center of Chabad Hasidism and the home of its founder, Rabbi Shneur Zalman.
  • C. Lefka
    Lefka is a small town in the northwestern part of Cyprus, known for its citrus orchards, copper mining history, and proximity to the Morphou region.
  • D. Leros
    Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
  • E. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • 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: Lidoriki
Triple: [Catalan domains in Greece, hasPart, Lidoriki]
Generated description
Lidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lidoriki
Target entity description: Lidoriki is a historic town in central Greece that once formed part of the medieval Catalan-ruled territories in the region.
  • A. Lagonisi
    Lagonisi is a coastal resort town in the Athens metropolitan area of Greece, known for its beaches and holiday homes along the Saronic Gulf.
  • B. Liadi
    Liadi is a historic town in present-day Belarus best known as the early center of Chabad Hasidism and the home of its founder, Rabbi Shneur Zalman.
  • C. Lefka
    Lefka is a small town in the northwestern part of Cyprus, known for its citrus orchards, copper mining history, and proximity to the Morphou region.
  • D. Leros
    Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
  • E. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea23391c819089e8f9725cb3a0ff completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5438d7b58819093cc1407fefe8ab5 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.