Triple

T20263594
Position Surface form Disambiguated ID Type / Status
Subject Daraa Governorate E498906 entity
Predicate hasCity P316 FINISHED
Object Inkhil
Inkhil is a town in southern Syria located within the Daraa Governorate, known for its agricultural surroundings and role in the region’s recent conflicts.
 E1420945 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: Inkhil | Statement: [Daraa Governorate, hasCity, Inkhil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inkhil
Context triple: [Daraa Governorate, hasCity, Inkhil]
  • A. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • B. Sankar
    Sankar is a common Indian given name and surname, often associated with Hindu cultural and religious traditions.
  • C. Sutikshna
    Sutikshna is a sage in the Aranya Kanda of the Ramayana, known for offering hospitality and guidance to Rama, Sita, and Lakshmana during their exile in the forest.
  • D. Sudarshan
    Sudarshan is a common Indian surname found across various regions and communities in India.
  • E. Surama Ghatak
    Surama Ghatak was the wife of renowned Indian filmmaker Ritwik Ghatak and a figure associated with his personal and artistic life.
  • 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: Inkhil
Triple: [Daraa Governorate, hasCity, Inkhil]
Generated description
Inkhil is a town in southern Syria located within the Daraa Governorate, known for its agricultural surroundings and role in the region’s recent conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inkhil
Target entity description: Inkhil is a town in southern Syria located within the Daraa Governorate, known for its agricultural surroundings and role in the region’s recent conflicts.
  • A. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • B. Sankar
    Sankar is a common Indian given name and surname, often associated with Hindu cultural and religious traditions.
  • C. Sutikshna
    Sutikshna is a sage in the Aranya Kanda of the Ramayana, known for offering hospitality and guidance to Rama, Sita, and Lakshmana during their exile in the forest.
  • D. Sudarshan
    Sudarshan is a common Indian surname found across various regions and communities in India.
  • E. Surama Ghatak
    Surama Ghatak was the wife of renowned Indian filmmaker Ritwik Ghatak and a figure associated with his personal and artistic life.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ccff008190920b418f51dc4311 completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855311d4c8190bab2119e20359ae9 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855c6bab08190831cc78647de84fc completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856da3e748190866c328a6c61b3d8 completed May 16, 2026, 11:36 a.m.
Created at: April 11, 2026, 11:41 p.m.