Triple

T6587617
Position Surface form Disambiguated ID Type / Status
Subject Eastern Aramaic E159266 entity
Predicate hasPart P35 FINISHED
Object Senaya
Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
 E603333 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: Senaya | Statement: [Eastern Aramaic, hasPart, Senaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Senaya
Context triple: [Eastern Aramaic, hasPart, Senaya]
  • A. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • B. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • C. Za'atara
    Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
  • D. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • E. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • 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: Senaya
Triple: [Eastern Aramaic, hasPart, Senaya]
Generated description
Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Senaya
Target entity description: Senaya is a modern Eastern Aramaic dialect traditionally spoken by the Christian community from Sanandaj in western Iran.
  • A. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • B. Eldaah
    Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
  • C. Za'atara
    Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
  • D. Al-Hinakiya
    Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
  • E. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5794f388190a04f4f9c9e628f22 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.