Triple
T19704270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wishbone |
E473170
|
entity |
| Predicate | hasUserEngagementMechanism |
P66544
|
FINISHED |
| Object | voting |
—
|
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: voting | Statement: [Wishbone, hasUserEngagementMechanism, voting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUserEngagementMechanism Context triple: [Wishbone, hasUserEngagementMechanism, voting]
-
A.
hasSocialEngagement
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
-
B.
interactionMechanism
chosen
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
C.
engagementCapability
Indicates the ability or capacity of one entity to initiate, conduct, or sustain an interaction or engagement with another entity.
-
D.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
E.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b998608190a82f23bbf77f7bd2 |
completed | April 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.