Triple
T5752345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddit Coins |
E126881
|
entity |
| Predicate | effectOfAwards |
P66540
|
FINISHED |
| Object | visually highlighting posts |
—
|
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: visually highlighting posts | Statement: [Reddit Coins, effectOfAwards, visually highlighting posts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfAwards Context triple: [Reddit Coins, effectOfAwards, visually highlighting posts]
-
A.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
B.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
-
C.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
D.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
E.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
- 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_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. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.