Triple

T16598014
Position Surface form Disambiguated ID Type / Status
Subject T5 E403258 entity
Predicate serviceArea P82 FINISHED
Object Athens urban corridor E279108 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: Athens urban corridor | Statement: [T5, serviceArea, Athens urban corridor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens urban corridor
Context triple: [T5, serviceArea, Athens urban corridor]
  • A. Athens Perimeter
    Athens Perimeter is a beltway highway encircling the city of Athens, Georgia, providing a major route for local and through traffic.
  • B. Nea Penteli
    Nea Penteli is a suburban town in the northern part of the Athens metropolitan area in Greece.
  • C. Athens metropolitan area chosen
    The Athens metropolitan area is the large urban agglomeration centered on Greece’s capital city, encompassing Athens and its surrounding suburbs and municipalities.
  • D. Athens metropolitan area
    The Athens metropolitan area is a regional urban and economic hub in northeastern Georgia centered on the city of Athens and its surrounding communities.
  • E. 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.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d7367308190bf57b4a6a7bd33cc completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da8c5048190aaa9350f8fcc8a2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.