Triple

T17129821
Position Surface form Disambiguated ID Type / Status
Subject Kifisias Avenue E415690 entity
Predicate runsThrough P416 FINISHED
Object Marousi E276362 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: Marousi | Statement: [Kifisias Avenue, runsThrough, Marousi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marousi
Context triple: [Kifisias Avenue, runsThrough, Marousi]
  • A. Marousi chosen
    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.
  • B. Nea Smyrni
    Nea Smyrni is a densely populated suburban municipality of Athens, Greece, known for its central square, vibrant café culture, and historical ties to Greek refugees from Smyrna.
  • C. Nea Penteli
    Nea Penteli is a suburban town in the northern part of the Athens metropolitan area in Greece.
  • D. 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.
  • E. Marcoussis
    Marcoussis is a commune in the Essonne department of the Île-de-France region in northern France, known for its blend of rural charm and proximity to the Paris metropolitan area.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0291ee881908fb10a8ccd7faa41 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482af1288190b7fdc8a84d0edeaf completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.