Triple
T37149573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 5 and later (non-USB-C models) |
E920326
|
entity |
| Predicate | includesModels |
P197425
|
FINISHED |
| Object | iPhone 5 |
E920324
|
NE 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: iPhone 5 | Statement: [iPhone 5 and later (non-USB-C models), includesModels, iPhone 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesModels Context triple: [iPhone 5 and later (non-USB-C models), includesModels, iPhone 5]
-
A.
includesModelsFrom
Indicates that one collection, set, or group contains models that originate from or are derived from another source or collection.
-
B.
usesModelsType
Indicates that one entity employs or relies on a specific type or category of models in its operation or behavior.
-
C.
hasModels
chosen
Indicates that an entity possesses, defines, or is associated with one or more models (such as conceptual, mathematical, or data models).
-
D.
hasModelIn
Indicates that an entity is represented or instantiated as a model within a specified context, system, or container.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- F. None of above.
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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4043ae3c00819082449a5ee69368e0 |
completed | June 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.