Triple

T22680185
Position Surface form Disambiguated ID Type / Status
Subject Aleppo Eyalet E560458 entity
Predicate administrativeCenter P1474 FINISHED
Object Aleppo NE NERFINISHED

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: Aleppo | Statement: [Aleppo Eyalet, administrativeCenter, Aleppo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleppo
Context triple: [Aleppo Eyalet, administrativeCenter, Aleppo]
  • A. Aleppo chosen
    Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
  • B. Homs
    Homs is one of Syria’s largest and oldest cities, historically a major commercial and industrial center located in the western part of the country.
  • C. Raqqa
    Raqqa is a city in northern Syria that became widely known as the de facto capital of the Islamic State (ISIS) during its control from 2014 to 2017.
  • D. Damascus
    Damascus is the capital and one of the largest cities of Syria, renowned as one of the oldest continuously inhabited cities in the world and a historic cultural and commercial center of the Arab world.
  • E. Damascus
    Damascus is a small rural city in Early County, southwestern Georgia, known for its agricultural surroundings and tight-knit community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785f68b4819082c5570f741f5135 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.