Triple
T28613021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J-Core architecture |
E724212
|
entity |
| Predicate | isSoftCore |
P164918
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [J-Core architecture, isSoftCore, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSoftCore Context triple: [J-Core architecture, isSoftCore, true]
-
A.
isSoft
Indicates that one entity has a soft or yielding texture or consistency when touched or pressed.
-
B.
isDiscreet
Indicates that an entity consistently avoids drawing attention or revealing sensitive information in its actions or interactions.
-
C.
isClubOrientedVersion
Indicates that one entity is a club-oriented or club-focused version or variant of another entity.
-
D.
hasCoreDegrees
Indicates that an entity possesses one or more primary or foundational academic degrees.
-
E.
isRadioFriendly
Indicates that something (typically a song, track, or audio content) is suitable for broadcast on mainstream radio, usually by meeting content, length, and formatting standards.
- F. None of above. chosen
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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f652a3a8208190a4fdd66f34138bd2 |
completed | May 2, 2026, 7:38 p.m. |
Created at: April 28, 2026, 4:30 a.m.