Triple
T8335707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogwarts Legacy |
E195780
|
entity |
| Predicate | ESRBrating |
P82154
|
FINISHED |
| Object | T |
—
|
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: T | Statement: [Hogwarts Legacy, ESRBrating, T]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ESRBrating Context triple: [Hogwarts Legacy, ESRBrating, T]
-
A.
ERAChampion
Indicates that an entity holds or has held the title of champion in a specific ERA (e.g., a league, season, or defined competitive period).
-
B.
timeformRating
Indicates the performance quality or ability of an entity as measured by a specific time-based rating or scoring system.
-
C.
ridershipLevel
Indicates the magnitude or intensity of usage by riders or passengers for a given service, route, or system.
-
D.
hasUEFACoefficientRanking
Indicates that an entity is associated with a specific position or value in UEFA’s official coefficient ranking system.
-
E.
fifaLikeRankingType
Indicates a ranking system or classification that follows the style, rules, or methodology of FIFA’s official rankings.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:57 p.m.