Triple
T4467300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antep baklavası |
E98408
|
entity |
| Predicate | requiresSkillLevel |
P56693
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Antep baklavası, requiresSkillLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresSkillLevel Context triple: [Antep baklavası, requiresSkillLevel, high]
-
A.
requiresSkill
Indicates that performing or engaging in one entity (e.g., a task or role) depends on possessing or applying a specific skill represented by the other entity.
-
B.
requiresSubjectsAtLevel
Indicates that an entity depends on other subjects being present or qualified at a specified level in order for a condition, action, or state to be valid or achievable.
-
C.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
D.
requiresPractice
Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
-
E.
requiresQuality
Indicates that one entity depends on or needs another entity to possess a specific quality or attribute in order for a condition, action, or relationship to hold.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.