Triple
T36998277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dettifoss |
E915285
|
entity |
| Predicate | sprayCharacteristic |
P91242
|
FINISHED |
| Object | heavy mist |
—
|
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: heavy mist | Statement: [Dettifoss, sprayCharacteristic, heavy mist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sprayCharacteristic Context triple: [Dettifoss, sprayCharacteristic, heavy mist]
-
A.
blowCharacteristics
Indicates the specific qualities or attributes associated with a blow, such as its force, direction, or manner.
-
B.
hasSpray
Indicates that one entity possesses, contains, or is equipped with a spray or spraying capability in relation to another entity or context.
-
C.
firingCharacteristic
Indicates the specific way in which an entity initiates or sustains firing or discharge, such as its pattern, mode, or conditions of activation.
-
D.
seedCoatCharacteristic
Indicates a relationship where a specific characteristic or property is attributed to the seed coat of an organism or specimen.
-
E.
emissionCharacteristic
chosen
Indicates a relationship where an entity is associated with a specific property or quality of its emissions (such as type, level, or pattern of emission).
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.