Triple
T34925096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rana graeca |
E1007260
|
entity |
| Predicate | hasTympanum |
P199668
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rana graeca, hasTympanum, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTympanum Context triple: [Rana graeca, hasTympanum, yes]
-
A.
hasEarTufts
Indicates that the subject possesses noticeable tufts of hair or feathers on its ears.
-
B.
hasEars
Indicates that an entity possesses ears as a physical feature.
-
C.
hasEarCount
Indicates the number of ears that an entity possesses.
-
D.
hasTympanumTheme
Indicates that a subject features a specific thematic or narrative motif depicted in its tympanum (the semi-circular or triangular decorative space above a doorway or entrance).
-
E.
tympanumAttributedTo
Indicates that the creation or design of a tympanum (architectural or sculptural element above a doorway) is credited or assigned to a particular agent, such as an artist, workshop, or cultural group.
- 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_69f76dc3d83881909d5c3c14455cfa2c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
| PDg | Predicate description generation | batch_69ff4de56fd48190aefdbf13c70f76ce |
completed | May 9, 2026, 3:08 p.m. |
Created at: May 3, 2026, 4 p.m.