Triple

T3973696
Position Surface form Disambiguated ID Type / Status
Subject Zoroaster E85590 entity
Predicate associatedConcept P531 FINISHED
Object asha
Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
 E403508 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: asha | Statement: [Zoroaster, associatedConcept, asha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: asha
Context triple: [Zoroaster, associatedConcept, asha]
  • A. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • B. ashik
    An ashik is a traditional Turkic bard and folk musician who performs narrative poetry and epic tales, often accompanying themselves on a long-necked lute.
  • C. ASHAK
    ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
  • D. Ash
    Ash is the insecure yet determined son of Mr. Fox in Roald Dahl’s story and its film adaptation, known for his quirky personality and desire to prove himself.
  • E. Ash
    Ash is the coldly logical android science officer and secret antagonist aboard the spaceship Nostromo in the 1979 science fiction horror film "Alien."
  • 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: asha
Triple: [Zoroaster, associatedConcept, asha]
Generated description
Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: asha
Target entity description: Asha is the central Zoroastrian concept of truth, order, and cosmic righteousness that governs both the moral and natural worlds.
  • A. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • B. ashik
    An ashik is a traditional Turkic bard and folk musician who performs narrative poetry and epic tales, often accompanying themselves on a long-necked lute.
  • C. ASHAK
    ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
  • D. Ash
    Ash is the insecure yet determined son of Mr. Fox in Roald Dahl’s story and its film adaptation, known for his quirky personality and desire to prove himself.
  • E. Ash
    Ash is the coldly logical android science officer and secret antagonist aboard the spaceship Nostromo in the 1979 science fiction horror film "Alien."
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef99837cc8190b8b2464707f5e334 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540139c2c819080aa19b13540c76a completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b540ec36a4819082a9cbefc99bd683 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b5416d182c81908b1ae43ed097d288 completed March 14, 2026, 11:07 a.m.
Created at: March 9, 2026, 3:32 p.m.