Triple

T17572873
Position Surface form Disambiguated ID Type / Status
Subject Ali İhsan Sabis E427982 entity
Predicate familyName P18 FINISHED
Object Sabis
Sabis is a Turkish surname most notably borne by Ali İhsan Sabis, an Ottoman and early Republican-era military officer.
E1277339 NE FINISHED

How this triple was built (4 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: Sabis | Statement: [Ali İhsan Sabis, familyName, Sabis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabis
Context triple: [Ali İhsan Sabis, familyName, Sabis]
  • A. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • B. Sugambri
    The Sugambri were an ancient Germanic tribe that lived along the lower Rhine and were known for their conflicts with the Roman Empire.
  • C. Cebesoy
    Cebesoy is a Turkish surname most notably associated with Ali Fuat Cebesoy, an important military commander and politician in the early Turkish Republic.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sabis
Triple: [Ali İhsan Sabis, familyName, Sabis]
Generated description
Sabis is a Turkish surname most notably borne by Ali İhsan Sabis, an Ottoman and early Republican-era military officer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sabis
Target entity description: Sabis is a Turkish surname most notably borne by Ali İhsan Sabis, an Ottoman and early Republican-era military officer.
  • A. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • B. Sugambri
    The Sugambri were an ancient Germanic tribe that lived along the lower Rhine and were known for their conflicts with the Roman Empire.
  • C. Cebesoy
    Cebesoy is a Turkish surname most notably associated with Ali Fuat Cebesoy, an important military commander and politician in the early Turkish Republic.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • F. None of above. chosen

Provenance (5 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459324aa48190ae23fcae6e8919f8 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01dde81264819097f7cb7448842eac completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01e246a9c48190b5b728ffb385de31 completed May 11, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01e2d0b7748190b9a179001e7dab94 completed May 11, 2026, 2:08 p.m.
Created at: April 10, 2026, 5:50 a.m.