Triple

T6137894
Position Surface form Disambiguated ID Type / Status
Subject Yarmouk River E136880 entity
Predicate region P40 FINISHED
Object Hauran
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
 E571616 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: Hauran | Statement: [Yarmouk River, region, Hauran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hauran
Context triple: [Yarmouk River, region, Hauran]
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • C. Radaur
    Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
  • D. Hornelen
    Hornelen is a prominent mountain in western Norway, famed for being one of the highest sea cliffs in Europe and a notable landmark for hikers and climbers.
  • E. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • 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: Hauran
Triple: [Yarmouk River, region, Hauran]
Generated description
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hauran
Target entity description: Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • C. Radaur
    Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
  • D. Hornelen
    Hornelen is a prominent mountain in western Norway, famed for being one of the highest sea cliffs in Europe and a notable landmark for hikers and climbers.
  • E. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c83aefc8190b0e250e96f2b10b4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135e78950819085a2fdd7538af4cb completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c138c23b7481909a647ed8565d25f2 completed March 23, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69c1391f17d08190952420bff4dd26f9 completed March 23, 2026, 12:59 p.m.
Created at: March 22, 2026, 4:15 p.m.