Triple
T27750407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Windows games |
E702098
|
entity |
| Predicate | typicalDistributionFormat |
P134599
|
FINISHED |
| Object | optical disc |
—
|
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: optical disc | Statement: [Microsoft Windows games, typicalDistributionFormat, optical disc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDistributionFormat Context triple: [Microsoft Windows games, typicalDistributionFormat, optical disc]
-
A.
typicalReleaseFormat
Indicates the usual or standard format in which something is released or published.
-
B.
typicalDeliveryFormat
chosen
Indicates the usual or standard format in which something is delivered or provided.
-
C.
distributorFormat
Indicates the format or medium in which a distributor provides or releases a product or content.
-
D.
distributedFormat
Indicates that an entity is made available or disseminated in a particular format or medium.
-
E.
typicalRecognitionFormat
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_6a000014497c819088d5cda3977522dd |
completed | May 10, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69ffff9a52b08190be1024e0fb6fe661 |
completed | May 10, 2026, 3:46 a.m. |
Created at: April 27, 2026, 4:19 p.m.