Triple

T23357062
Position Surface form Disambiguated ID Type / Status
Subject مدينة أريحا E593077 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object دير قرنطل
دير قرنطل هو دير مسيحي تاريخي محفور في منحدرات جبل التجربة المطل على أريحا، ويُعد من أبرز المعالم الدينية والسياحية في فلسطين.
 E1582199 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: دير قرنطل | Statement: [مدينة أريحا, hasArchaeologicalSite, دير قرنطل]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: دير قرنطل
Context triple: [مدينة أريحا, hasArchaeologicalSite, دير قرنطل]
  • A. Krol
    Krol is a Dutch surname most notably associated with figures such as writer and mathematician Gerrit Krol.
  • B. Hosaena
    Hosaena is a town in southern Ethiopia that serves as an important administrative and commercial center in the Southern Nations, Nationalities, and Peoples' Region.
  • C. Kogo
    Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • D. Wielki Rogacz
    Wielki Rogacz is a mountain peak in the Radziejowa Range of the Beskid Sądecki in southern Poland, popular with hikers for its forested trails and scenic views.
  • E. Iznogoud
    Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
  • 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: دير قرنطل
Triple: [مدينة أريحا, hasArchaeologicalSite, دير قرنطل]
Generated description
دير قرنطل هو دير مسيحي تاريخي محفور في منحدرات جبل التجربة المطل على أريحا، ويُعد من أبرز المعالم الدينية والسياحية في فلسطين.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: دير قرنطل
Target entity description: دير قرنطل هو دير مسيحي تاريخي محفور في منحدرات جبل التجربة المطل على أريحا، ويُعد من أبرز المعالم الدينية والسياحية في فلسطين.
  • A. Krol
    Krol is a Dutch surname most notably associated with figures such as writer and mathematician Gerrit Krol.
  • B. Hosaena
    Hosaena is a town in southern Ethiopia that serves as an important administrative and commercial center in the Southern Nations, Nationalities, and Peoples' Region.
  • C. Kogo
    Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • D. Wielki Rogacz
    Wielki Rogacz is a mountain peak in the Radziejowa Range of the Beskid Sądecki in southern Poland, popular with hikers for its forested trails and scenic views.
  • E. Iznogoud
    Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a18996c81909c7ad15cde616553 completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dd1c02c8190bf474938083d8ae3 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5e7eb7b481908b3cece1823cf785 completed May 19, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5eef81e48190b62da26fb8d65223 completed May 19, 2026, 1 p.m.
Created at: April 17, 2026, 5:28 p.m.