Triple
T9175851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.7 Lion |
E220196
|
entity |
| Predicate | initialReleaseMethod |
P58117
|
FINISHED |
| Object | Mac App Store download |
—
|
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: Mac App Store download | Statement: [Mac OS X 10.7 Lion, initialReleaseMethod, Mac App Store download]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialReleaseMethod Context triple: [Mac OS X 10.7 Lion, initialReleaseMethod, Mac App Store download]
-
A.
initialReleaseWith
Indicates that two or more entities were first released together as part of the same initial release event or package.
-
B.
initialReleaseApprox
Indicates that an entity’s first release or debut occurred around an estimated or approximate point in time rather than on a precisely known date.
-
C.
firstRelease
Indicates that one entity is the initial or earliest release (in time or sequence) of another entity, such as a product, work, or version.
-
D.
firstReleaseVersion
Indicates the specific version identifier associated with the initial public release of something.
-
E.
mannerOfRelease
chosen
Indicates the way or method by which something is released or let go (e.g., physically, chemically, or procedurally).
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.