Triple
T8695901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Gift Card |
E206401
|
entity |
| Predicate | hasOnlineBalanceCheck |
P84604
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Disney Gift Card, hasOnlineBalanceCheck, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineBalanceCheck Context triple: [Disney Gift Card, hasOnlineBalanceCheck, true]
-
A.
hasOnlineActivity
Indicates that an entity engages in or possesses some form of activity or presence on the internet or digital platforms.
-
B.
hasCheckAndBalanceWith
Indicates that two entities mutually monitor, limit, or counterbalance each other's powers or actions to prevent dominance or abuse.
-
C.
hasCheckAndBalanceFunction
Indicates that one entity performs a checking or limiting role on another entity’s powers, providing oversight and balance within a system.
-
D.
hasMinimumBalanceForTrain
Indicates that an entity’s balance meets or exceeds the minimum required amount to use or board a train.
-
E.
isOnLine
Indicates that one entity is located directly along, or in contact with, a specified line or linear path.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582996a0819097ad03097ad1f103 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc582412f48190ae819965bfb0e75d |
completed | March 31, 2026, 11:26 p.m. |
Created at: March 30, 2026, 6:34 p.m.