Triple

T15437833
Position Surface form Disambiguated ID Type / Status
Subject Jean Moréas E369812 entity
Predicate notableWork P4 FINISHED
Object Les Syrtes E369816 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: Les Syrtes | Statement: [Jean Moréas, notableWork, Les Syrtes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Syrtes
Context triple: [Jean Moréas, notableWork, Les Syrtes]
  • A. Les Syrtes chosen
    Les Syrtes is a symbolist literary work by Greek-French poet Jean Moréas, reflecting his influential role in the late 19th-century Symbolist movement.
  • B. Tadrart Acacus
    Tadrart Acacus is a mountain range in southwestern Libya renowned for its prehistoric rock art and dramatic desert landscapes, recognized as a UNESCO World Heritage Site.
  • C. Toshka
    Toshka is a region in southern Egypt best known for the Toshka Lakes and large-scale desert reclamation and irrigation projects near Lake Nasser.
  • D. Cyrenaican Desert
    The Cyrenaican Desert is a harsh, sparsely populated desert region in eastern Libya, forming part of the greater Sahara and surrounding the historical coastal region of Cyrenaica.
  • E. Libyan Desert
    The Libyan Desert is a harsh, arid expanse in the eastern Sahara, spanning parts of Libya and neighboring countries and characterized by vast sand seas, rocky plateaus, and extreme climatic conditions.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a7d44481909a26b5cc331a3259 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.