Triple

T17719699
Position Surface form Disambiguated ID Type / Status
Subject Hama Governorate E442298 entity
Predicate contains P35 FINISHED
Object Suqaylabiyah
Suqaylabiyah is a town in western Syria known for its predominantly Christian population and its location near the Orontes River in the Hama region.
E1284504 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: Suqaylabiyah | Statement: [Hama Governorate, contains, Suqaylabiyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suqaylabiyah
Context triple: [Hama Governorate, contains, Suqaylabiyah]
  • A. Almaqah
    Almaqah is the principal moon god of the ancient Sabaean civilization in South Arabia, associated with kingship, fertility, and monumental temple complexes.
  • B. Al-Quweira
    Al-Quweira is a town in southern Jordan known for its location along the Desert Highway within Ma’an Governorate.
  • C. Al Uwayqilah
    Al Uwayqilah is a small town located in the Northern Borders Region of Saudi Arabia, near the country’s frontier with Iraq.
  • D. Taybeh
    Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
  • E. Suq al-Shuyukh
    Suq al-Shuyukh is a city in southern Iraq known as a local commercial and administrative center within the Dhi Qar region.
  • 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: Suqaylabiyah
Triple: [Hama Governorate, contains, Suqaylabiyah]
Generated description
Suqaylabiyah is a town in western Syria known for its predominantly Christian population and its location near the Orontes River in the Hama region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suqaylabiyah
Target entity description: Suqaylabiyah is a town in western Syria known for its predominantly Christian population and its location near the Orontes River in the Hama region.
  • A. Almaqah
    Almaqah is the principal moon god of the ancient Sabaean civilization in South Arabia, associated with kingship, fertility, and monumental temple complexes.
  • B. Al-Quweira
    Al-Quweira is a town in southern Jordan known for its location along the Desert Highway within Ma’an Governorate.
  • C. Al Uwayqilah
    Al Uwayqilah is a small town located in the Northern Borders Region of Saudi Arabia, near the country’s frontier with Iraq.
  • D. Taybeh
    Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
  • E. Suq al-Shuyukh
    Suq al-Shuyukh is a city in southern Iraq known as a local commercial and administrative center within the Dhi Qar region.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e474844ff48190b1cf181eb9c113d9 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02302defe081909eaeb1f90d497561 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0231835c748190b6908d6ddb5f25b4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0232033f788190b0be2d3976ed57e4 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:07 a.m.