Triple
T36938278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chop Chop |
E913674
|
entity |
| Predicate | toyGameInteraction |
P186711
|
FINISHED |
| Object | uses NFC-enabled figure on Portal of Power |
—
|
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: uses NFC-enabled figure on Portal of Power | Statement: [Chop Chop, toyGameInteraction, uses NFC-enabled figure on Portal of Power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toyGameInteraction Context triple: [Chop Chop, toyGameInteraction, uses NFC-enabled figure on Portal of Power]
-
A.
toySystem
Indicates a relationship where something functions as or belongs to a toy system, typically a simplified or illustrative version of a larger or more complex system.
-
B.
homeGameActivity
Indicates that an activity or event takes place as a home game for a particular team or participant.
-
C.
typicalGame
Indicates a relationship where one entity is characterized as a standard, representative, or commonly occurring example of a game for the other entity or context.
-
D.
cityGame6
Indicates a relationship where an entity is associated with a specific city-based game, event, or competition labeled as variant 6.
-
E.
toyType
Indicates the specific category or kind of toy that an item belongs to.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.