Triple

T32472066
Position Surface form Disambiguated ID Type / Status
Subject Iranian government decrees E829873 entity
Predicate relatedTo P37 FINISHED
Object Iranian administrative law
Iranian administrative law is the body of legal rules and principles that governs the organization, powers, and procedures of public administration and executive authorities in Iran, including the oversight of their decisions by administrative courts.
E2007978 NE FINISHED

How this triple was built (2 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: Iranian administrative law | Statement: [Iranian government decrees, relatedTo, Iranian administrative law]
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: Iranian administrative law
Triple: [Iranian government decrees, relatedTo, Iranian administrative law]
Generated description
Iranian administrative law is the body of legal rules and principles that governs the organization, powers, and procedures of public administration and executive authorities in Iran, including the oversight of their decisions by administrative courts.

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_69f3491ee87c81908cbf5890079c2af6 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c35687ac81909e255d274c1fa164 completed May 3, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a346699d02c8190ab26f2cd9fd9e5b5 completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a34678a344c8190a37da291fe37b6d1 completed June 18, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a3468279dbc8190b5efcecd6f4aa23c completed June 18, 2026, 9:50 p.m.
Created at: May 1, 2026, 12:57 a.m.