Triple
T3210806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parícutin |
E67274
|
entity |
| Predicate | growthRateFirstDay |
P29162
|
FINISHED |
| Object | several meters high within 24 hours |
—
|
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: several meters high within 24 hours | Statement: [Parícutin, growthRateFirstDay, several meters high within 24 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growthRateFirstDay Context triple: [Parícutin, growthRateFirstDay, several meters high within 24 hours]
-
A.
firstIncreaseIn
Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
-
B.
hasGrowthRate
chosen
Indicates the rate at which something increases in size, quantity, or value over a given period of time.
-
C.
growthType
Indicates the manner or pattern in which something develops or increases over time.
-
D.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
E.
reproductionRate
Indicates the frequency or speed at which an entity produces new offspring or copies of itself over a given time or condition.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaab886c48190b72e36d0ac855ffe |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.