Triple
T11376164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crash Bandicoot 2: N-Tranced |
E269474
|
entity |
| Predicate | hasCollectibles |
P77092
|
FINISHED |
| Object | crystals |
—
|
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: crystals | Statement: [Crash Bandicoot 2: N-Tranced, hasCollectibles, crystals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectibles Context triple: [Crash Bandicoot 2: N-Tranced, hasCollectibles, crystals]
-
A.
collectibleIn
chosen
Indicates that one entity can be collected or obtained within the context, location, or container defined by another entity.
-
B.
collects
Indicates that one entity gathers, accumulates, or brings together one or more other entities into its possession or control.
-
C.
hasMonsterCollection
Indicates that an entity possesses or maintains a collection of monsters.
-
D.
coinsCollectedFor
Indicates that a certain number of coins has been gathered or accumulated in order to benefit or be used for a particular entity or purpose.
-
E.
hasFictionalCollector
Indicates that an entity is associated with a fictional character who collects or curates it.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.