Triple
T22430710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walbaum |
E554490
|
entity |
| Predicate | foundryHistory |
P148154
|
FINISHED |
| Object | originally cut in metal type |
—
|
LITERAL FINISHED |
How this triple was built (2 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: originally cut in metal type | Statement: [Walbaum, foundryHistory, originally cut in metal type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundryHistory Context triple: [Walbaum, foundryHistory, originally cut in metal type]
-
A.
foundry
Indicates a relationship where an entity operates as or is associated with a foundry, typically involved in casting or producing metal or similar materials.
-
B.
primaryFoundry
Indicates that one entity serves as the main or principal foundry (manufacturing source) for another entity.
-
C.
historicProduct
Indicates that a product is no longer current and is recognized as belonging to an earlier or past period in the product’s lifecycle.
-
D.
foundingOf
Indicates the event or relationship in which an entity is established or created, typically linking the founder(s), the founded entity, and the time or context of its creation.
-
E.
operatedAsIronworksUntil
Indicates that an entity functioned in the capacity of an ironworks up to a specified point in time.
- F. None of above. chosen
Provenance (4 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.