Triple

T4059109
Position Surface form Disambiguated ID Type / Status
Subject Jerash E84765 entity
Predicate hasNameInArabic P6450 FINISHED
Object جرش E103176 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: جرش | Statement: [Jerash, hasNameInArabic, جرش]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: جرش
Context triple: [Jerash, hasNameInArabic, جرش]
  • A. Jarash Governorate chosen
    Jarash Governorate is a region in northern Jordan known for its ancient Roman ruins at Jerash and its role in the country’s modern political and military history.
  • B. Kel Ajjer
    Kel Ajjer is a prominent Tuareg confederation traditionally inhabiting the central Sahara region spanning parts of present-day Algeria and Libya.
  • C. Irbid
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • D. Heshbon
    Heshbon is an ancient city in the Transjordan region frequently mentioned in the Bible as a significant Moabite and later Israelite center.
  • E. Qalqilya
    Qalqilya is a Palestinian city in the northwestern West Bank, known for being almost completely encircled by the Israeli West Bank barrier.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd13b4481908f9c09cc4f4a9724 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576966bd081909b804a3ccc18c1ee completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:38 p.m.