Triple

T4159730
Position Surface form Disambiguated ID Type / Status
Subject Ossetian folk religion E91501 entity
Predicate hasDeity P5606 FINISHED
Object Uacilla
Uacilla is a prominent deity in Ossetian folk religion, often associated with thunder, weather, and protection.
 E417315 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: Uacilla | Statement: [Ossetian folk religion, hasDeity, Uacilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uacilla
Context triple: [Ossetian folk religion, hasDeity, Uacilla]
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Huerva
    The Huerva is a river in northeastern Spain that flows through the province of Zaragoza before joining the Ebro River.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • E. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • 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: Uacilla
Triple: [Ossetian folk religion, hasDeity, Uacilla]
Generated description
Uacilla is a prominent deity in Ossetian folk religion, often associated with thunder, weather, and protection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uacilla
Target entity description: Uacilla is a prominent deity in Ossetian folk religion, often associated with thunder, weather, and protection.
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Huerva
    The Huerva is a river in northeastern Spain that flows through the province of Zaragoza before joining the Ebro River.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • E. Moura
    Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af029454d08190b7ff32776081fabc completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f40678481908894ff315932a610 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57ff73cf88190b103db0694c1a923 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58094c690819080dbde068ff1b119 completed March 14, 2026, 3:36 p.m.
Created at: March 9, 2026, 3:44 p.m.