Triple
T18529649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laracon |
E452800
|
entity |
| Predicate | targetAudienceLevel |
P10804
|
FINISHED |
| Object | beginner developers |
—
|
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: beginner developers | Statement: [Laracon, targetAudienceLevel, beginner developers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAudienceLevel Context triple: [Laracon, targetAudienceLevel, beginner developers]
-
A.
typicalAudience
chosen
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
B.
targetAudienceRatingContext
Indicates the contextual conditions or setting (such as platform, region, or usage scenario) under which a particular audience rating is intended to apply.
-
C.
targetAudienceRank
Indicates the relative priority or importance level assigned to a particular audience segment compared to other potential audiences.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
developmentLevel
Indicates the degree or stage of progress, advancement, or maturity that something has reached in its growth or evolution.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fb940c81909d4ad9fc37f47829 |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.