Triple

T13292457
Position Surface form Disambiguated ID Type / Status
Subject Rif Dimashq Governorate E316591 entity
Predicate contains P35 FINISHED
Object Saqba
Saqba is a town in southwestern Syria that forms part of the urban and suburban area surrounding the capital, Damascus.
E1033424 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: Saqba | Statement: [Rif Dimashq Governorate, contains, Saqba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saqba
Context triple: [Rif Dimashq Governorate, contains, Saqba]
  • A. Saqilatuh
    Saqilatuh is a town located within Egypt’s Sohag Governorate in Upper Egypt.
  • B. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • C. Qataban
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • D. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • E. Zarruq
    Zarruq is the honorific title of Ahmad Zarruq, a renowned 15th-century Moroccan Sufi scholar, jurist, and reformer known for integrating Islamic law and Sufism.
  • 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: Saqba
Triple: [Rif Dimashq Governorate, contains, Saqba]
Generated description
Saqba is a town in southwestern Syria that forms part of the urban and suburban area surrounding the capital, Damascus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saqba
Target entity description: Saqba is a town in southwestern Syria that forms part of the urban and suburban area surrounding the capital, Damascus.
  • A. Saqilatuh
    Saqilatuh is a town located within Egypt’s Sohag Governorate in Upper Egypt.
  • B. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • C. Qataban
    Qataban was an ancient South Arabian kingdom known for its incense trade and strategic position along key caravan routes in what is now Yemen.
  • D. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • E. Zarruq
    Zarruq is the honorific title of Ahmad Zarruq, a renowned 15th-century Moroccan Sufi scholar, jurist, and reformer known for integrating Islamic law and Sufism.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d6dc988190ab7183089113237f completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b852808190a2a0fb48424bffb0 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:27 p.m.