Triple

T11629886
Position Surface form Disambiguated ID Type / Status
Subject Penteli E276368 entity
Predicate hasPart P35 FINISHED
Object Palaia Penteli E284965 NE FINISHED

How this triple was built (2 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: Palaia Penteli | Statement: [Penteli, hasPart, Palaia Penteli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palaia Penteli
Context triple: [Penteli, hasPart, Palaia Penteli]
  • A. Nea Penteli chosen
    Nea Penteli is a suburban town in the northern part of the Athens metropolitan area in Greece.
  • B. Marousi
    Marousi is a suburban city in the Athens metropolitan area of Greece, known as a major commercial and business hub and home to several corporate headquarters and sports facilities.
  • C. Palaio Faliro
    Palaio Faliro is a coastal suburb of Athens, Greece, known for its seafront promenade, beaches, and residential character.
  • D. Nea Figaleia
    Nea Figaleia is a modern Greek settlement located near the archaeological site of ancient Figaleia in the Peloponnese region.
  • E. Volissos
    Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166403d6081908caa665433eaed53 completed April 29, 2026, 2 a.m.
Created at: April 8, 2026, 9:39 p.m.