Triple
T3851551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeşil Türbe |
E85304
|
entity |
| Predicate | lowerLevelUse |
P44761
|
FINISHED |
| Object | crypt |
—
|
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: crypt | Statement: [Yeşil Türbe, lowerLevelUse, crypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerLevelUse Context triple: [Yeşil Türbe, lowerLevelUse, crypt]
-
A.
lowerLevelUsedFor
chosen
Indicates that a lower-level component, resource, or abstraction is utilized to implement, support, or realize the functionality of a higher-level one.
-
B.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
C.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
D.
lowerCourseEnvironment
Indicates that one course is conducted in a less advanced or less demanding learning environment compared to another course.
-
E.
lowerRank
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebd0feb081909cc1d5bf41e4acd6 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.