Triple

T789957
Position Surface form Disambiguated ID Type / Status
Subject Samegrelo E16889 entity
Predicate containsTown P847 FINISHED
Object Abasha
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
 E102469 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: Abasha | Statement: [Samegrelo, containsTown, Abasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abasha
Context triple: [Samegrelo, containsTown, Abasha]
  • A. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • D. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • E. Abbenes
    Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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: Abasha
Triple: [Samegrelo, containsTown, Abasha]
Generated description
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abasha
Target entity description: Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • A. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • D. Noshaq
    Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
  • E. Abbenes
    Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7841b0c8190859ecd247e32c6ec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3afbb0c8190b4e7aa7824c8b787 completed March 4, 2026, 3:14 a.m.
NEDg Description generation batch_69a7a6b6741081908d14a974a7f55fbc completed March 4, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69a7a8ad0c2c8190921ace3db1cd2608 completed March 4, 2026, 3:36 a.m.
Created at: March 1, 2026, 7:38 p.m.