Triple

T6276875
Position Surface form Disambiguated ID Type / Status
Subject .sl E140681 entity
Predicate sponsoringOrganization P3853 FINISHED
Object Sierratel E581921 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: Sierratel | Statement: [.sl, sponsoringOrganization, Sierratel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierratel
Context triple: [.sl, sponsoringOrganization, Sierratel]
  • A. Sierratel chosen
    Sierratel is the state-owned telecommunications company of Sierra Leone, providing fixed-line, mobile, and internet services across the country.
  • B. Telica
    Telica is an active stratovolcano in western Nicaragua known for its frequent eruptions and prominent volcanic crater.
  • C. Telesia
    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.
  • D. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • E. Reitoca
    Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063d96fbc8190a9091456b82762d1 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e40844b48190837b75baaf8dabda completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.