Triple

T3943316
Position Surface form Disambiguated ID Type / Status
Subject Lucani E92085 entity
Predicate conflictedWith P4335 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: [Lucani, conflictedWith, Tarentum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarentum
Context triple: [Lucani, conflictedWith, 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. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • D. Semyorka
    Semyorka is the nickname for the Soviet R-7 family of rockets, historically significant as the launch vehicles for Sputnik and early crewed spaceflights.
  • E. Baldwinne
    Baldwinne is an alternative historical or variant spelling of the given name Baldwin, which is of Germanic origin and borne by several medieval European nobles and rulers.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedff736c8190b22e03d94c40f61a completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53394eccc8190a58534e749e24b07 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:24 p.m.