Triple

T32038828
Position Surface form Disambiguated ID Type / Status
Subject Khun-Anup E818166 entity
Predicate makesPetitionTo P67728 FINISHED
Object Rensi
Rensi is an ancient Egyptian official known from the Tale of the Eloquent Peasant as the high steward who hears and transmits Khun-Anup’s eloquent petitions for justice.
 E818167 NE FINISHED

How this triple was built (3 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: Rensi | Statement: [Khun-Anup, makesPetitionTo, Rensi]
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: Rensi
Triple: [Khun-Anup, makesPetitionTo, Rensi]
Generated description
Rensi is an ancient Egyptian official known from the Tale of the Eloquent Peasant as the high steward who hears and transmits Khun-Anup’s eloquent petitions for justice.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: makesPetitionTo
Context triple: [Khun-Anup, makesPetitionTo, Rensi]
  • A. containsPetition
    Indicates that one entity includes or holds a petition within it, either as content or as a component.
  • B. typeOfPetition
    Indicates the specific category or kind of petition that a given petition instance belongs to.
  • C. keyPetition
    Indicates that an entity serves as the primary or central petition associated with another entity or context.
  • D. canBePetitionedBy chosen
    Indicates that an entity is eligible to receive formal petitions, requests, or appeals from another entity.
  • E. requiresPetitionForm
    Indicates that performing this action or establishing this relationship is contingent upon the submission or completion of a petition form.
  • F. None of above.

Provenance (6 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_69f348fbc8148190b3c0f95d4772b153 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b49e063c819080287830c83f4207 completed May 3, 2026, 2:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed4f833b481908b3cb1259158d2f6 completed June 14, 2026, 4:21 p.m.
NEDg Description generation batch_6a2ed5d5e50481909643301cbb095e03 completed June 14, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed721fb788190ba3719843972260f completed June 14, 2026, 4:30 p.m.
PD Predicate disambiguation batch_69f6b151ad008190836c1bcdec503ce2 completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:19 a.m.