Triple

T9957248
Position Surface form Disambiguated ID Type / Status
Subject Via Militaris E195474 entity
Predicate followsRouteThrough P6309 FINISHED
Object Serdica E199745 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: Serdica | Statement: [Via Militaris, followsRouteThrough, Serdica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serdica
Context triple: [Via Militaris, followsRouteThrough, Serdica]
  • A. Serdica chosen
    Serdica was an important ancient Roman city in the province of Thracia, located on the site of present-day Sofia, Bulgaria.
  • B. Serdika
    Serdika is the ancient name of the city now known as Sofia, the capital of Bulgaria, historically significant as a major Roman and Byzantine urban center in the Balkans.
  • C. Silistra
    Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
  • D. Pliska
    Pliska was the first capital city of the early medieval First Bulgarian Empire, serving as its political and administrative center.
  • E. Dupnitsa
    Dupnitsa is a town in southwestern Bulgaria known as a regional center near the Osogovo Mountains, with historical roots and access to mountain tourism and outdoor activities.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cceb608190ad4424afaddcabfa completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d7988948190bae81c1020f2b605 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:46 p.m.