Triple

T15846764
Position Surface form Disambiguated ID Type / Status
Subject Amurru E384233 entity
Predicate spouse P13 FINISHED
Object Gubarra
Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
 E1179927 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: Gubarra | Statement: [Amurru, spouse, Gubarra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gubarra
Context triple: [Amurru, spouse, Gubarra]
  • A. Gualba
    Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • D. Mecubúri
    Mecubúri is a town and district in northern Mozambique known for its agricultural activities within Nampula Province.
  • E. Gachalá
    Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
  • 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: Gubarra
Triple: [Amurru, spouse, Gubarra]
Generated description
Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gubarra
Target entity description: Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • A. Gualba
    Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
  • B. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • C. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • D. Mecubúri
    Mecubúri is a town and district in northern Mozambique known for its agricultural activities within Nampula Province.
  • E. Gachalá
    Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:50 a.m.