Triple

T28952192
Position Surface form Disambiguated ID Type / Status
Subject Piet Eeckhout E731046 entity
Predicate chambers P84376 FINISHED
Object Monckton Chambers
Monckton Chambers is a leading set of barristers in London renowned for its expertise in European Union, competition, public, and regulatory law.
 E1843225 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: Monckton Chambers | Statement: [Piet Eeckhout, chambers, Monckton Chambers]
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: Monckton Chambers
Triple: [Piet Eeckhout, chambers, Monckton Chambers]
Generated description
Monckton Chambers is a leading set of barristers in London renowned for its expertise in European Union, competition, public, and regulatory law.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: chambers
Context triple: [Piet Eeckhout, chambers, Monckton Chambers]
  • A. chamber1
    Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
  • B. chamber2
    Indicates that one entity serves as a secondary or inner chamber, room, or compartment associated with another entity.
  • C. chamberOf
    Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
  • D. chamberServed chosen
    Indicates that a particular legislative chamber was the one in which an individual held office or performed their official service.
  • E. chamberType
    Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
  • 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_69f043eb9bcc819091ac7b07aecb6475 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6645ba71c81908044ade6ab577018 completed May 2, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec4db24081909c5277ca576ffb50 completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f066b990819095925ff855a3370e completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4d232f08190808f832d0536033c completed June 7, 2026, 4:34 a.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 8:44 a.m.