Triple
T32119888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ljusne |
E820339
|
entity |
| Predicate | hasIndustrialHistorySinceCentury |
P181018
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Ljusne, hasIndustrialHistorySinceCentury, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustrialHistorySinceCentury Context triple: [Ljusne, hasIndustrialHistorySinceCentury, 19th century]
-
A.
hasIndustrialHeritage
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
B.
nearbyIndustrialHistory
Indicates that an entity is located close to a site, feature, or area of industrial historical significance.
-
C.
historicalPeriodOfIndustrialUse
Indicates the historical time span during which an entity was used for industrial purposes.
-
D.
foundedAsIndustrialTown
Indicates that a settlement was originally established specifically as an industrial town, typically to support concentrated industrial or manufacturing activity.
-
E.
eraOfIndustrialDevelopment
chosen
Indicates the historical period during which an entity experienced industrial growth, modernization, or significant development in its industrial sector.
- F. None of above.
Provenance (3 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: May 1, 2026, 12:28 a.m.