Triple
T18903371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian federal electoral divisions |
E462391
|
entity |
| Predicate | namesBasedOn |
P118939
|
FINISHED |
| Object | geographic features |
—
|
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: geographic features | Statement: [Australian federal electoral divisions, namesBasedOn, geographic features]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namesBasedOn Context triple: [Australian federal electoral divisions, namesBasedOn, geographic features]
-
A.
namesAs
Indicates that one entity assigns or uses a particular name or label to refer to another entity.
-
B.
namedAccordingTo
chosen
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
C.
nameElements
Indicates that an entity assigns or specifies the names of multiple elements within a set or structure.
-
D.
nameOf
Indicates that one entity is the name or designation of another entity.
-
E.
namedAs
Indicates that one entity is given, known by, or referred to using the name of 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52b07c08190be0db22826462ae3 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.