Triple

T4681451
Position Surface form Disambiguated ID Type / Status
Subject Niš E103811 entity
Predicate historicalName P65 FINISHED
Object Naissus E38674 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: Naissus | Statement: [Niš, historicalName, Naissus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naissus
Context triple: [Niš, historicalName, Naissus]
  • A. Naissus chosen
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • B. Lampsacus
    Lampsacus was an ancient Greek city on the eastern shore of the Hellespont, known as a center of philosophy and culture in classical antiquity.
  • C. Philippopolis
    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.
  • D. Ancyra
    Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
  • E. Nikopolis
    Nikopolis is an ancient city in Epirus, Greece, founded by the Roman emperor Augustus and known today for its extensive archaeological remains.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636d306081908ff512896f54cb10 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39ca8f6081909aecde545f211bb9 completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:16 p.m.