Triple

T13966257
Position Surface form Disambiguated ID Type / Status
Subject Keos E335930 entity
Predicate hasAlternativeName P39 FINISHED
Object Ceos E395436 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: Ceos | Statement: [Keos, hasAlternativeName, Ceos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceos
Context triple: [Keos, hasAlternativeName, Ceos]
  • A. Ceos chosen
    Ceos is an ancient Greek island in the Aegean Sea, known in mythology and history for its religious cults, poets, and connections to various deities and heroes.
  • B. Axius
    Axius is the ancient name of the Orontes River, a historically significant waterway in the Near East that flows through modern-day Lebanon, Syria, and Turkey.
  • C. Quatis
    Quatis is a small municipality in the state of Rio de Janeiro, Brazil, known for its location in the Sul Fluminense region and its predominantly rural character.
  • D. Poros
    Poros is a river in J.R.R. Tolkien's Middle-earth that flows through Gondor and serves as a significant southern boundary.
  • E. Poros
    Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8c9e988190a84c9ca8a78b515f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1da70588190a6c9a3895d92be5b completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.