Triple

T7699461
Position Surface form Disambiguated ID Type / Status
Subject Mysia E174451 entity
Predicate hasCity P316 FINISHED
Object Lampsacus E74886 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: Lampsacus | Statement: [Mysia, hasCity, Lampsacus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lampsacus
Context triple: [Mysia, hasCity, Lampsacus]
  • A. Lampsacus chosen
    Lampsacus was an ancient Greek city on the eastern shore of the Hellespont, known as a center of philosophy and culture in classical antiquity.
  • B. Cyzicus
    Cyzicus was an ancient Greek city in Mysia on the southern coast of the Sea of Marmara, known as a significant commercial and cultural center in classical antiquity.
  • C. Heraclea
    Heraclea was an important ancient Greek city in southern Italy’s Lucania region, known for its strategic location and role in Magna Graecia.
  • D. Abdera
    Abdera was an ancient Greek city in Thrace, historically notable as the hometown of the philosopher Democritus.
  • E. Naissus
    Naissus was an important ancient Roman city in the province of Moesia, located at the site of modern-day Niš in Serbia.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7026ba7b48190a18f1c1cbbf1b944 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b50049f88190b4cd5cf692d0a3b1 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:03 p.m.