Triple

T22659899
Position Surface form Disambiguated ID Type / Status
Subject Tripoli Eyalet E559633 entity
Predicate contains P35 FINISHED
Object Homs 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: Homs | Statement: [Tripoli Eyalet, contains, Homs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Homs
Context triple: [Tripoli Eyalet, contains, Homs]
  • A. Homs chosen
    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.
  • B. Homs Governorate
    Homs Governorate is a large administrative region in central Syria, centered on the city of Homs and known for its strategic location and diverse landscapes.
  • 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. Aleppo
    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.
  • E. Khan Shaykhun
    Khan Shaykhun is a town in northwestern Syria that gained international attention during the Syrian civil war, particularly after a widely reported chemical attack in 2017.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765dc9088190b022ac564a8b5c26 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.