Triple

T27687795
Position Surface form Disambiguated ID Type / Status
Subject Standard-Triumph E698077 entity
Predicate locationOfManufacturingPlant P181529 FINISHED
Object Canley, Coventry
Canley, Coventry is a district in the city of Coventry, England, historically known for its major car manufacturing industry, particularly the former Standard-Triumph automobile plant.
 E1784507 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: Canley, Coventry | Statement: [Standard-Triumph, locationOfManufacturingPlant, Canley, Coventry]
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: Canley, Coventry
Triple: [Standard-Triumph, locationOfManufacturingPlant, Canley, Coventry]
Generated description
Canley, Coventry is a district in the city of Coventry, England, historically known for its major car manufacturing industry, particularly the former Standard-Triumph automobile plant.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locationOfManufacturingPlant
Context triple: [Standard-Triumph, locationOfManufacturingPlant, Canley, Coventry]
  • A. manufacturingSite chosen
    Indicates the location or facility where a product is or was manufactured.
  • B. mainManufacturingSite
    Indicates the primary location where an entity’s products are manufactured or produced.
  • C. hasPrimaryProductionLocation
    Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
  • D. plantLocation
    Indicates the location where a plant is situated, grown, or found.
  • E. firstProductionPlace
    Indicates the location where something was originally or first produced.
  • 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_69ef590df8708190af5488f0638e790c completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69ff16775a9881909d26dbc1f0ef3e1c completed May 9, 2026, 11:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12dab19e148190a7265456accbb535 completed May 24, 2026, 11:02 a.m.
NEDg Description generation batch_6a12dcb81e7c8190aff8806c7d06e8d7 completed May 24, 2026, 11:10 a.m.
NED2 Entity disambiguation (via description) batch_6a12dd3ba39481909149d5d9eb7dd5eb completed May 24, 2026, 11:12 a.m.
PD Predicate disambiguation batch_69ff158e61708190a1c581d0d306cfce completed May 9, 2026, 11:07 a.m.
Created at: April 27, 2026, 2:50 p.m.