Triple
T1108713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E25543
|
entity | |
| Predicate | userInteractionModel |
P23418
|
FINISHED |
| Object | voting-based ranking |
—
|
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-based ranking | Statement: [Reddit, userInteractionModel, voting-based ranking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userInteractionModel Context triple: [Reddit, userInteractionModel, voting-based ranking]
-
A.
userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
B.
hasInteraction
Indicates that there is some form of interaction or mutual action occurring between the related entities.
-
C.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
D.
usesVoiceAssistant
Indicates that an entity regularly operates or interacts with a voice-controlled digital assistant.
-
E.
hasLanguageModel
Indicates that an entity possesses, uses, or is associated with a particular language model.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b749e2a881909ef28745a7d2d917 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:43 p.m.