Triple
T25555937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PlayStation Trophies |
E640567
|
entity |
| Predicate | trophyTierValue |
P120644
|
FINISHED |
| Object | Bronze trophies have the lowest point value |
—
|
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: Bronze trophies have the lowest point value | Statement: [PlayStation Trophies, trophyTierValue, Bronze trophies have the lowest point value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyTierValue Context triple: [PlayStation Trophies, trophyTierValue, Bronze trophies have the lowest point value]
-
A.
trophyCount
Indicates the number of trophies associated with a given entity.
-
B.
trophySignificance
chosen
Indicates that one entity (typically a trophy) holds a particular level or type of importance, value, or meaning in relation to another entity.
-
C.
trophyHeight
Indicates the height measurement associated with a trophy.
-
D.
trophyNameRefersTo
Indicates that a given trophy name refers to, denotes, or is associated with a particular trophy entity.
-
E.
trophyWeight
Indicates a relationship where a specific weight value is attributed to a trophy.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8ca2cf48190997cd68875571217 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:39 p.m.