Triple
T20194467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volt Tackle |
E493045
|
entity |
| Predicate | affectedByWaterAbsorb |
P139147
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Volt Tackle, affectedByWaterAbsorb, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedByWaterAbsorb Context triple: [Volt Tackle, affectedByWaterAbsorb, false]
-
A.
waterTolerance
Indicates the degree to which an entity can withstand or function effectively in the presence of water.
-
B.
receivesMoistureFrom
Indicates that one entity obtains or is supplied with moisture (such as water, humidity, or precipitation) from another entity.
-
C.
waterExposure
Indicates that one entity is subjected to contact with water from another source or environment.
-
D.
formedBySubmerging
Indicates that something comes into existence or is created as a result of being placed or held beneath the surface of a liquid.
-
E.
waterRetention
Indicates the capacity of something to hold or retain water over time.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.