Triple
T36851525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar III |
E910686
|
entity |
| Predicate | hasRatingType |
P195256
|
FINISHED |
| Object | culture rating |
—
|
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: culture rating | Statement: [Caesar III, hasRatingType, culture rating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRatingType Context triple: [Caesar III, hasRatingType, culture rating]
-
A.
hasRatingLevel
Indicates that an entity is associated with a particular rating level or score category.
-
B.
hasCurrentRating
Indicates that an entity is associated with its present or most up-to-date rating value.
-
C.
usesRating
Indicates that one entity applies, relies on, or incorporates a rating assigned to another entity.
-
D.
isHumanRated
Indicates that something has been evaluated and approved as safe or suitable for use by humans.
-
E.
hasRatingFocus
Indicates that an entity’s primary emphasis or concern is on ratings, such as scores, reviews, or evaluative metrics.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: May 3, 2026, 4:13 p.m.