Triple
T5435030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lercara Friddi |
E121986
|
entity |
| Predicate | hasEconomicDeclineReason |
P26452
|
FINISHED |
| Object | closure of sulfur mines |
—
|
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: closure of sulfur mines | Statement: [Lercara Friddi, hasEconomicDeclineReason, closure of sulfur mines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicDeclineReason Context triple: [Lercara Friddi, hasEconomicDeclineReason, closure of sulfur mines]
-
A.
hasIndustryDecline
Indicates that an entity is experiencing or associated with a reduction or downturn in its industry’s performance or activity.
-
B.
hasEconomicChallenge
Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
-
C.
historicalPeriodOfDecline
Indicates that an entity corresponds to a historical period characterized by decline or deterioration in another entity’s power, influence, stability, or prosperity.
-
D.
causeOfDownfall
chosen
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
E.
movementDecline
Indicates a reduction or worsening in the extent, frequency, or effectiveness of movement or mobility over time.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:06 p.m.