Triple
T22269202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Blue Room |
E550429
|
entity |
| Predicate | hasContemplativeMood |
P7863
|
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: [Your Blue Room, hasContemplativeMood, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContemplativeMood Context triple: [Your Blue Room, hasContemplativeMood, true]
-
A.
isContemplative
Indicates that an entity is engaged in deep, reflective thought or meditation about something.
-
B.
hasMeditativeGrooves
Indicates that something features grooves or patterns specifically designed to facilitate or enhance meditative or contemplative experiences.
-
C.
viewOnContemplation
Indicates a relationship where one entity holds or expresses a particular perspective, opinion, or stance when reflecting thoughtfully on another entity or subject.
-
D.
hasMood
chosen
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
E.
teachesNumberOfContemplations
Indicates that an entity instructs or conveys a specific quantity of contemplative practices or contemplations to another entity.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bde9f88190b533bcb88787b492 |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:40 p.m.