Triple

T15115854
Position Surface form Disambiguated ID Type / Status
Subject Kileler municipality E361036 entity
Predicate vehicleRegistrationCodeRegion P3446 FINISHED
Object ΡΙ (Larissa) E379140 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: ΡΙ (Larissa) | Statement: [Kileler municipality, vehicleRegistrationCodeRegion, ΡΙ (Larissa)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ΡΙ (Larissa)
Context triple: [Kileler municipality, vehicleRegistrationCodeRegion, ΡΙ (Larissa)]
  • A. Volos
    Volos is a coastal city in central Greece known as a major commercial and passenger port on the Aegean Sea.
  • B. city of Larissa chosen
    The city of Larissa is a major urban center in central Greece, historically significant as a Thessalian capital and modern regional hub for agriculture, commerce, and culture.
  • C. Karditsa
    Karditsa is a city in central Greece known for its flat terrain, cycling culture, and role as an agricultural and commercial hub of the Thessaly region.
  • D. Lavrio
    Lavrio is a coastal town in southeastern Attica, Greece, historically known for its ancient silver mines and modern port facilities.
  • E. Trikala
    Trikala is a historic city in central Greece known for its role in ancient Thessaly and its modern reputation as a model of smart, sustainable urban development.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.