Triple

T2649447
Position Surface form Disambiguated ID Type / Status
Subject Archytas E53861 entity
Predicate citizenship P2 FINISHED
Object Tarentum E51791 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: Tarentum | Statement: [Archytas, citizenship, Tarentum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarentum
Context triple: [Archytas, citizenship, Tarentum]
  • A. Tarentum chosen
    Tarentum was an important ancient Greek colony in southern Italy, known for its strategic harbor, economic prosperity, and cultural influence in the region of Magna Graecia.
  • B. Iconium
    Iconium was an ancient city in central Anatolia, historically significant as a Hellenistic, Roman, and early Christian center, located in what is now Konya, Turkey.
  • C. Diggstown
    Diggstown is a 1992 sports comedy-drama film centered on a high-stakes boxing con set in a small Southern town.
  • D. Albanopolis
    Albanopolis is a historically obscure city or town, traditionally identified in Christian tradition as the place where the Apostle Bartholomew was martyred.
  • E. Philippi
    Philippi was an ancient city in eastern Macedonia, notable in early Christianity as the site of one of the first European churches and a key location in the missionary journeys of the Apostle Paul.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91ca1288190ba302b04bac4c153 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa052c91c8190abfd49dbc62a4448 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.