Triple
T36580881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capel Celyn |
E902390
|
entity |
| Predicate | preFloodEconomy |
P124431
|
FINISHED |
| Object | agriculture |
—
|
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: agriculture | Statement: [Capel Celyn, preFloodEconomy, agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preFloodEconomy Context triple: [Capel Celyn, preFloodEconomy, agriculture]
-
A.
preEruptionEconomy
Indicates the state or characteristics of an economy during the period immediately before a volcanic eruption or similar disruptive event.
-
B.
preDisasterStatus
chosen
Indicates the condition or state of an entity as it existed before a specific disaster occurred.
-
C.
impactOnEconomy
Indicates the effect or influence that one factor, event, or action has on the state or performance of an economy.
-
D.
majorCrisis
Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
-
E.
economicFunction
Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.