Triple
T9003557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messages |
E215089
|
entity |
| Predicate | bundleWith |
P43695
|
FINISHED |
| Object | iOS default app suite |
—
|
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: iOS default app suite | Statement: [Messages, bundleWith, iOS default app suite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bundleWith Context triple: [Messages, bundleWith, iOS default app suite]
-
A.
offeredBundle
chosen
Indicates that one entity has presented a specific combination of items or services together as a bundled offer to another entity.
-
B.
containsBasket
Indicates that one entity includes or holds a basket as part of its contents or composition.
-
C.
associatedWithGift
Indicates a relationship in which an entity is connected to, involved with, or linked through a gift.
-
D.
binding
Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
-
E.
billedWeight
Indicates the weight value used for billing or charging purposes in a transaction or shipment.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.