Triple

T15371044
Position Surface form Disambiguated ID Type / Status
Subject Altis E367547 entity
Predicate locatedIn P40 FINISHED
Object Elis E71370 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: Elis | Statement: [Altis, locatedIn, Elis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elis
Context triple: [Altis, locatedIn, Elis]
  • A. Elis chosen
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • B. Elys
    Elys is a variant form of the given name Ellis, used as an alternative spelling or stylistic variation.
  • C. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • D. Livaneli
    Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
  • E. Ellisif
    Ellisif, also known as Elisiv of Kiev, was a Kievan Rus' princess who became Queen consort of Norway through her marriage to King Harald Hardrada in the 11th century.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.