Triple

T24761941
Position Surface form Disambiguated ID Type / Status
Subject Swansea copper industry E619469 entity
Predicate centeredOnArea P93967 FINISHED
Object Morfa
Morfa was a key industrial district in Swansea, Wales, historically known for its large copperworks that formed the heart of the city’s once-dominant copper industry.
 E1653358 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: Morfa | Statement: [Swansea copper industry, centeredOnArea, Morfa]
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: Morfa
Triple: [Swansea copper industry, centeredOnArea, Morfa]
Generated description
Morfa was a key industrial district in Swansea, Wales, historically known for its large copperworks that formed the heart of the city’s once-dominant copper industry.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: centeredOnArea
Context triple: [Swansea copper industry, centeredOnArea, Morfa]
  • A. centeredOnField
    Indicates that one entity is positioned or focused around the central area of a specified field or domain.
  • B. hasRegionCenter
    Indicates that a region is associated with a specific central point or location that serves as its geometric or administrative center.
  • C. targetArea
    Indicates the specific area or region that is the intended focus or destination of an action or effect.
  • D. hasCenterIn chosen
    Indicates that something is located, based, or primarily focused within a specified central place or area.
  • E. underliesArea
    Indicates that one entity forms the foundational basis or underlying support for a particular area or domain of activity, knowledge, or influence.
  • 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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c1008708190a48a1c4755381f45 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a1028468998819087e3f9b72b85b947 completed May 22, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a10291de8b081908ee2e532ddca698e completed May 22, 2026, 9:59 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 4:27 a.m.