Triple

T36005882
Position Surface form Disambiguated ID Type / Status
Subject Earldom of Leicester E1041269 entity
Predicate hasFeudalLordshipOver P58507 FINISHED
Object honour of Leicester
The honour of Leicester was a major medieval English feudal barony centered on Leicester, comprising extensive lands and rights held by the earls of Leicester.
 E2165897 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: honour of Leicester | Statement: [Earldom of Leicester, hasFeudalLordshipOver, honour of Leicester]
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: honour of Leicester
Triple: [Earldom of Leicester, hasFeudalLordshipOver, honour of Leicester]
Generated description
The honour of Leicester was a major medieval English feudal barony centered on Leicester, comprising extensive lands and rights held by the earls of Leicester.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFeudalLordshipOver
Context triple: [Earldom of Leicester, hasFeudalLordshipOver, honour of Leicester]
  • A. hasFeudalOverlord chosen
    Indicates that one entity holds feudal lordship or overlord authority over another, implying hierarchical control and obligations within a feudal system.
  • B. grantedFiefOf
    Indicates that one party has been formally given control or ownership of a fief (landed estate) by another authority.
  • C. formerFiefOf
    Indicates that a territory or domain was previously under the control or jurisdiction of a specified lord, ruler, or political entity as a fief.
  • D. vassalsOf
    Indicates that one entity serves as a subordinate or dependent vassal under the authority or suzerainty of another entity.
  • E. isFeudalState
    Indicates that a political entity operates under a feudal system, where power is decentralized and structured through hierarchical obligations between lords and vassals.
  • 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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcdf2394748190b35cead3e208447d completed May 7, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bff5b03c81909c908c12e615ca11 completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c68dcce08190a20fc4be430131b3 completed June 22, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_6a38c70192dc8190b3b08c122985293c completed June 22, 2026, 5:24 a.m.
PD Predicate disambiguation batch_69fcdbe344ec8190a0471911952f4b82 completed May 7, 2026, 6:37 p.m.
Created at: May 3, 2026, 4:07 p.m.