Triple

T15773045
Position Surface form Disambiguated ID Type / Status
Subject İnce Memed series E382410 entity
Predicate hasPart P35 FINISHED
Object İnce Memed 4 E382403 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: İnce Memed 4 | Statement: [İnce Memed series, hasPart, İnce Memed 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: İnce Memed 4
Context triple: [İnce Memed series, hasPart, İnce Memed 4]
  • A. İnce Memed series
    The İnce Memed series is a renowned set of Turkish novels by Yaşar Kemal that follow a peasant-turned-outlaw fighting oppression in rural Anatolia.
  • B. İnce Memed chosen
    İnce Memed is a classic Turkish novel that follows a young villager’s transformation into a legendary bandit and symbol of resistance against feudal oppression.
  • C. İncesu
    İncesu is a town and district in central Turkey known for its historical caravanserai and location within Kayseri Province in Central Anatolia.
  • D. Kayayı Delen İncir
    Kayayı Delen İncir is a poetry collection by prominent Turkish modernist poet Turgut Uyar, reflecting his distinctive, introspective and experimental style.
  • E. Hatıralar
    Hatıralar is one of the sections of Mehmet Akif Ersoy's celebrated Turkish poetry collection Safahat, reflecting his personal memories and social observations.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051976d248190adddd3db9f758e22 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909b467c819097ee87f51d2001da completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.