Triple
T6645363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vombatiformes |
E150685
|
entity |
| Predicate | bodySizeVariation |
P28652
|
FINISHED |
| Object | from small wombats to giant diprotodontids |
—
|
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: from small wombats to giant diprotodontids | Statement: [Vombatiformes, bodySizeVariation, from small wombats to giant diprotodontids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodySizeVariation Context triple: [Vombatiformes, bodySizeVariation, from small wombats to giant diprotodontids]
-
A.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
B.
sizeDescription
chosen
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
C.
bodyVariant
Indicates that one entity is an alternative physical form or version of another entity’s body.
-
D.
sizeCategory
Indicates the relative size classification assigned to an entity compared to others (e.g., small, medium, large).
-
E.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.