Triple

T9957249
Position Surface form Disambiguated ID Type / Status
Subject Via Militaris E195474 entity
Predicate followsRouteThrough P6309 FINISHED
Object Philippopolis E113775 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: Philippopolis | Statement: [Via Militaris, followsRouteThrough, Philippopolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippopolis
Context triple: [Via Militaris, followsRouteThrough, Philippopolis]
  • A. Philippopolis chosen
    Philippopolis is the ancient name of the city now known as Plovdiv in Bulgaria, a historically significant urban center in Thrace that has been ruled by numerous empires over the centuries.
  • B. Hadrianopolis
    Hadrianopolis was an important ancient Roman and Byzantine city in Thrace, later known as Edirne in modern-day Turkey.
  • C. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • D. Nikopolis
    Nikopolis is an ancient city in Epirus, Greece, founded by the Roman emperor Augustus and known today for its extensive archaeological remains.
  • E. Marcianopolis
    Marcianopolis was an important ancient Roman city in the province of Moesia, known as a regional administrative and military center in the Balkans.
  • 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_69d257aa73d4819081f77f8386449905 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:46 p.m.