Triple
T16249974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caviidae |
E394473
|
entity |
| Predicate | molarType |
P122346
|
FINISHED |
| Object | hypsodont molars |
—
|
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: hypsodont molars | Statement: [Caviidae, molarType, hypsodont molars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: molarType Context triple: [Caviidae, molarType, hypsodont molars]
-
A.
hasTypeOfMouth
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
B.
modulusType
Indicates the type or category of modulus associated with an entity or operation (e.g., which modulus definition or scheme is being used).
-
C.
mantleType
Indicates the type or classification of a mantle associated with an entity, specifying what kind of mantle it has.
-
D.
mokoroType
Indicates that one entity is classified as a specific type or category of mokoro (a particular kind of canoe or boat).
-
E.
typeOfMint
Indicates that one entity is a specific kind or variety of mint relative to another entity.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459606f88190a53905186f7f73be |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.