Triple
T18903381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian federal electoral divisions |
E462391
|
entity |
| Predicate | currentTotalNumber |
P7664
|
FINISHED |
| Object | approximately 151 |
—
|
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: approximately 151 | Statement: [Australian federal electoral divisions, currentTotalNumber, approximately 151]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTotalNumber Context triple: [Australian federal electoral divisions, currentTotalNumber, approximately 151]
-
A.
hasTotalNumber
chosen
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
B.
currentNumberOfClasses
Indicates the present count of classes associated with or contained by a given entity.
-
C.
currentNumberOfLeaves
Indicates the present count of leaves associated with an entity at a given point in time.
-
D.
commonTotalLength
Indicates that the entities share the same overall measured length.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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.