Triple
T4326118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TPUs (via XLA integrations) |
E96636
|
entity |
| Predicate | documentationHostedAt |
P55145
|
FINISHED |
| Object | https://github.com/pytorch/xla |
—
|
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: https://github.com/pytorch/xla | Statement: [TPUs (via XLA integrations), documentationHostedAt, https://github.com/pytorch/xla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentationHostedAt Context triple: [TPUs (via XLA integrations), documentationHostedAt, https://github.com/pytorch/xla]
-
A.
hostedOn
Indicates that one entity operates, resides, or is made available on another entity that provides the underlying platform or infrastructure.
-
B.
documentationHosting
chosen
Indicates that one entity provides a platform or service for storing, displaying, or serving the documentation of another entity.
-
C.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
D.
alsoHosted
Indicates that the subject entity, in addition to others, served as a host for the same event or activity.
-
E.
deployedTo
Indicates that something (such as a resource, application, or unit) has been placed, installed, or made operational in a specific target environment or location.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513020f481909ff2fec3934f3002 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.