Triple

T12636809
Position Surface form Disambiguated ID Type / Status
Subject Chalcidian Greeks E301786 entity
Predicate foundedColony P160 FINISHED
Object Rhegion E51793 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: Rhegion | Statement: [Chalcidian Greeks, foundedColony, Rhegion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhegion
Context triple: [Chalcidian Greeks, foundedColony, Rhegion]
  • A. Rhegion chosen
    Rhegion was an important ancient Greek city located at the southern tip of Italy, strategically positioned on the Strait of Messina.
  • B. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • C. Altmark region
    The Altmark region is a historic rural area in northern Germany known as one of the cradles of Brandenburg and Prussian history.
  • D. Biltine Region
    Biltine Region was a former administrative region in eastern Chad that was later reorganized and renamed Wadi Fira.
  • E. Regio
    Regio is a regional train service brand in Switzerland operated by the Swiss Federal Railways (SBB/CFF/FFS), providing local and stopping services between towns and cities.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96147f49c8190b701e1e27e207a95 completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66873706c8190a9908d1a8629b1c5 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:16 p.m.