Triple

T4149120
Position Surface form Disambiguated ID Type / Status
Subject Parnon mountain range E89860 entity
Predicate hasSettlement P1068 FINISHED
Object Leonidio
Leonidio is a traditional coastal town in the eastern Peloponnese of Greece, known for its dramatic red cliffs, Tsakonian cultural heritage, and popular rock-climbing routes.
 E417599 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: Leonidio | Statement: [Parnon mountain range, hasSettlement, Leonidio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leonidio
Context triple: [Parnon mountain range, hasSettlement, Leonidio]
  • A. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • B. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • C. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • D. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • E. Emilian
    Emilian is a Gallo-Italic Romance language variety spoken primarily in the Emilia 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: Leonidio
Triple: [Parnon mountain range, hasSettlement, Leonidio]
Generated description
Leonidio is a traditional coastal town in the eastern Peloponnese of Greece, known for its dramatic red cliffs, Tsakonian cultural heritage, and popular rock-climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leonidio
Target entity description: Leonidio is a traditional coastal town in the eastern Peloponnese of Greece, known for its dramatic red cliffs, Tsakonian cultural heritage, and popular rock-climbing routes.
  • A. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • B. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • C. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • D. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • E. Emilian
    Emilian is a Gallo-Italic Romance language variety spoken primarily in the Emilia 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02624a9c8190900e42e845ab7e4f completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57f9e42c88190b516bf8dca7b2efc completed March 14, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69b58028e7108190a6c92fc9ea300f9e completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:43 p.m.