Triple
T19109045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castlecomer |
E467737
|
entity |
| Predicate | traditionalIndustryDecline |
P41756
|
FINISHED |
| Object | 20th 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: 20th century | Statement: [Castlecomer, traditionalIndustryDecline, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalIndustryDecline Context triple: [Castlecomer, traditionalIndustryDecline, 20th century]
-
A.
hasIndustryDecline
chosen
Indicates that an entity is experiencing or associated with a reduction or downturn in its industry’s performance or activity.
-
B.
formerKeyIndustry
Indicates that an entity was once a primary or strategically important industry for another entity but no longer holds that status.
-
C.
movementDecline
Indicates a reduction or worsening in the extent, frequency, or effectiveness of movement or mobility over time.
-
D.
historicalPeriodOfDecline
Indicates that an entity corresponds to a historical period characterized by decline or deterioration in another entity’s power, influence, stability, or prosperity.
-
E.
formerIndustrialTown
Indicates that a town previously had a significant industrial base or economy but no longer does.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e392ef488190a230b1d2890b2a9d |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.