Triple

T12550154
Position Surface form Disambiguated ID Type / Status
Subject Konstantinos Karamanlis E300075 entity
Predicate politicalParty P352 FINISHED
Object Greek Rally E128175 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: Greek Rally | Statement: [Konstantinos Karamanlis, politicalParty, Greek Rally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greek Rally
Context triple: [Konstantinos Karamanlis, politicalParty, Greek Rally]
  • A. Greek Rally chosen
    Greek Rally was a conservative political party in Greece led by former military leader Alexandros Papagos, which dominated Greek politics in the early 1950s.
  • B. Rally Turkey
    Rally Turkey is a gravel-based motorsport event held on challenging mountainous roads, formerly a round of the FIA World Rally Championship.
  • C. Rally
    Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
  • D. Acropolis Rally
    The Acropolis Rally is a famously tough gravel rally in Greece, long regarded as one of the most demanding and prestigious events in the World Rally Championship.
  • E. Rally Portugal
    Rally Portugal is a prominent gravel-based round of the World Rally Championship held in Portugal, known for its challenging stages and passionate crowds.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655853ecc8190b178a489d806a0c4 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:58 p.m.