Triple

T21201393
Position Surface form Disambiguated ID Type / Status
Subject Zoroastrian priesthood E522462 entity
Predicate hasRank P337 FINISHED
Object herbad
A herbad is a lower-ranking Zoroastrian priest responsible for performing basic religious duties and rituals within the community.
E1472461 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: herbad | Statement: [Zoroastrian priesthood, hasRank, herbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: herbad
Context triple: [Zoroastrian priesthood, hasRank, herbad]
  • A. Herbaijum
    Herbaijum is a small village in the province of Friesland in the Netherlands.
  • B. Herbede
    Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
  • C. Herse
    Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • D. HEJ
    HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
  • E. Filabusi
    Filabusi is a small mining and agricultural town in southwestern Zimbabwe that serves as a local commercial and administrative center.
  • 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: herbad
Triple: [Zoroastrian priesthood, hasRank, herbad]
Generated description
A herbad is a lower-ranking Zoroastrian priest responsible for performing basic religious duties and rituals within the community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: herbad
Target entity description: A herbad is a lower-ranking Zoroastrian priest responsible for performing basic religious duties and rituals within the community.
  • A. Herbaijum
    Herbaijum is a small village in the province of Friesland in the Netherlands.
  • B. Herbede
    Herbede is a district of the German city of Witten, located in North Rhine-Westphalia along the Ruhr River.
  • C. Herse
    Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
  • D. HEJ
    HEJ is a renowned research institute in Pakistan specializing in advanced studies and innovation in chemistry and related scientific fields.
  • E. Filabusi
    Filabusi is a small mining and agricultural town in southwestern Zimbabwe that serves as a local commercial and administrative center.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ecf17908190ae8c2b02002811f9 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097ff28ed0819081cea66e9ea5eaa2 completed May 17, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0981477234819093bc90f3578ddccf completed May 17, 2026, 8:50 a.m.
Created at: April 16, 2026, 3:18 p.m.