Triple
T5752535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | r/technology |
E126885
|
entity |
| Predicate | discussionTheme |
P57619
|
FINISHED |
| Object | consumer electronics |
—
|
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: consumer electronics | Statement: [r/technology, discussionTheme, consumer electronics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussionTheme Context triple: [r/technology, discussionTheme, consumer electronics]
-
A.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
B.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
C.
forum
Indicates that an entity hosts or is associated with an online discussion space where users can post messages and interact.
-
D.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
E.
mainDebateTopic
chosen
Indicates that a specified subject or issue is the primary focus or central topic of a particular debate or discussion.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.