Triple

T12457237
Position Surface form Disambiguated ID Type / Status
Subject University of Aleppo E297689 entity
Predicate locatedIn P40 FINISHED
Object Aleppo E61722 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: Aleppo | Statement: [University of Aleppo, locatedIn, Aleppo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleppo
Context triple: [University of Aleppo, locatedIn, 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. Latakia
    Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef6c34481909e18bce1154e7146 completed May 3, 2026, 7:53 a.m.
Created at: April 8, 2026, 9:56 p.m.