Triple

T16561350
Position Surface form Disambiguated ID Type / Status
Subject Western Greek world E402345 entity
Predicate hasPart P35 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: [Western Greek world, hasPart, Tarentum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarentum
Context triple: [Western Greek world, hasPart, 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. West Troy
    West Troy is the former name of Watervliet, a small industrial city located along the Hudson River in eastern New York State.
  • C. Pelasgus
    Pelasgus is a figure in Greek mythology often regarded as an ancestral or eponymous hero of the Pelasgians, a pre-Hellenic people of ancient Greece.
  • D. Shushtar
    Shushtar is a historic city in southwestern Iran, renowned for its ancient hydraulic system and rich cultural heritage.
  • E. Apollo, Pennsylvania
    Apollo, Pennsylvania is a small borough in Armstrong County known for its historic riverside setting along the Kiskiminetas River and its roots in western Pennsylvania’s early industrial development.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576d88288190b33543bea4706a36 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067be809c81909c93eb1253fbf8e5 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.