Triple

T11026003
Position Surface form Disambiguated ID Type / Status
Subject Sharqia Governorate E260618 entity
Predicate hasCity P316 FINISHED
Object Minya al-Qamh
Minya al-Qamh is a city in Egypt’s Nile Delta region known for its agricultural surroundings and role as a local commercial center.
 E900598 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: Minya al-Qamh | Statement: [Sharqia Governorate, hasCity, Minya al-Qamh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minya al-Qamh
Context triple: [Sharqia Governorate, hasCity, Minya al-Qamh]
  • A. Kobri El-Qobba
    Kobri El-Qobba is a metro station in Cairo, Egypt, located in the northeastern part of the city and integrated into the urban transit network.
  • B. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • C. Thayet
    Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
  • D. Naglaa
    Naglaa is an Arabic feminine given name commonly used in Egypt and other Arabic-speaking countries.
  • E. Tahawus
    Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
  • 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: Minya al-Qamh
Triple: [Sharqia Governorate, hasCity, Minya al-Qamh]
Generated description
Minya al-Qamh is a city in Egypt’s Nile Delta region known for its agricultural surroundings and role as a local commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Minya al-Qamh
Target entity description: Minya al-Qamh is a city in Egypt’s Nile Delta region known for its agricultural surroundings and role as a local commercial center.
  • A. Kobri El-Qobba
    Kobri El-Qobba is a metro station in Cairo, Egypt, located in the northeastern part of the city and integrated into the urban transit network.
  • B. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • C. Thayet
    Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
  • D. Naglaa
    Naglaa is an Arabic feminine given name commonly used in Egypt and other Arabic-speaking countries.
  • E. Tahawus
    Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d0cd988190a7b21d7bdc3109ce completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37523f8548190ad40fa76660232a8 completed April 18, 2026, 12:12 p.m.
NEDg Description generation batch_69e37ab860f48190808ba0076cfa9c98 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e3864dd0d48190b3fd81381f5d7418 completed April 18, 2026, 1:25 p.m.
Created at: April 8, 2026, 9:25 p.m.