Triple
T24761944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swansea copper industry |
E619469
|
entity |
| Predicate | hadMajorWorks |
P6260
|
FINISHED |
| Object |
Hafod Copperworks
Hafod Copperworks was a major 19th-century copper smelting complex in Swansea, Wales, that became one of the world’s leading centers of copper production during the Industrial Revolution.
|
E1653360
|
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: Hafod Copperworks | Statement: [Swansea copper industry, hadMajorWorks, Hafod Copperworks]
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: Hafod Copperworks Triple: [Swansea copper industry, hadMajorWorks, Hafod Copperworks]
Generated description
Hafod Copperworks was a major 19th-century copper smelting complex in Swansea, Wales, that became one of the world’s leading centers of copper production during the Industrial Revolution.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMajorWorks Context triple: [Swansea copper industry, hadMajorWorks, Hafod Copperworks]
-
A.
hasMainWorks
Indicates that an entity possesses or is associated with one or more primary or most significant works.
-
B.
eraOfMajorWorks
Indicates the historical period during which an entity produced its most significant or influential works.
-
C.
hasMajorWork
chosen
Indicates that an entity (typically a person, creator, or organization) is associated with a significant or principal work they produced or are best known for.
-
D.
hasCreatedWorksFor
Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
-
E.
majorWorkAboutHim
Indicates that a major work (such as a book, film, or study) is primarily about the referenced person.
- 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_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 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_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:27 a.m.