Triple
T6645366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vombatiformes |
E150685
|
entity |
| Predicate | hasTypeMemberCommonName |
P72013
|
FINISHED |
| Object | wombat |
—
|
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: wombat | Statement: [Vombatiformes, hasTypeMemberCommonName, wombat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeMemberCommonName Context triple: [Vombatiformes, hasTypeMemberCommonName, wombat]
-
A.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
B.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
C.
hasTypeOfNames
Indicates that one entity possesses or is associated with a particular category or kind of names defined by another entity.
-
D.
hasNameElementType
Indicates that something includes a specific type or category of element within its name.
-
E.
includesCommonName
Indicates that one entity contains or specifies a commonly used (non-scientific) name for 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_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. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2 p.m.