Triple
T20194496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Shock |
E493046
|
entity |
| Predicate | powerPointsAtMax |
P139153
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [Thunder Shock, powerPointsAtMax, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerPointsAtMax Context triple: [Thunder Shock, powerPointsAtMax, 48]
-
A.
corePointsMaximum
Indicates the maximum number of core points that can be assigned, accumulated, or recognized within a given system or context.
-
B.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
-
C.
maximumPowerAtPSE
Indicates the highest level of power that can be delivered or drawn at the Power Sourcing Equipment (PSE) in the relationship.
-
D.
powerplayOvers
Indicates the number or range of overs in a limited-overs cricket innings during which powerplay fielding restrictions are in effect.
-
E.
maximumSlotsRecommended
Indicates the highest number of slots that is advised or suggested to be used in a given context.
- 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.