Triple

T12603532
Position Surface form Disambiguated ID Type / Status
Subject Sanjak of Eğriboz E300916 entity
Predicate namedAfter P63 FINISHED
Object Eğriboz E993942 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: Eğriboz | Statement: [Sanjak of Eğriboz, namedAfter, Eğriboz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eğriboz
Context triple: [Sanjak of Eğriboz, namedAfter, Eğriboz]
  • A. Eğriboz chosen
    Eğriboz is the historical name for the Greek island and town of Euboea (Chalkis), a significant strategic and commercial center in the Aegean Sea.
  • B. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • C. Bozüyük
    Bozüyük is a town and district in northwestern Turkey known as one of the major industrial and population centers of Bilecik Province.
  • D. Karakoçan
    Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
  • E. Oğuzeli
    Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66869c0b08190b13bcebbe354cd98 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:10 p.m.