Triple

T16451874
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Telesia E227807 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: Telesia | Statement: [Regio IV Samnium, contains, Telesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telesia
Context triple: [Regio IV Samnium, contains, Telesia]
  • A. Telesia chosen
    Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Thebae
    Thebae is the Latin name for the ancient Egyptian city of Thebes, a major religious and political center on the Nile known for its temples and royal necropolis.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.