Triple
T138923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernal Fall |
E2808
|
entity |
| Predicate | hasSpray |
P5957
|
FINISHED |
| Object | mist that often creates rainbows |
—
|
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: mist that often creates rainbows | Statement: [Vernal Fall, hasSpray, mist that often creates rainbows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpray Context triple: [Vernal Fall, hasSpray, mist that often creates rainbows]
-
A.
hasSpin
Indicates that one entity possesses or exhibits rotational motion or angular momentum.
-
B.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
C.
hadFort
Indicates that an entity possessed, controlled, or contained a fort at some time.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
- F. None of above. chosen
Provenance (4 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a2565426c08190aab68e34a6a2d60e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25737f9188190b9690dce98aed83a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.