Triple
T10662453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokay (historical name in Australia) |
E251259
|
entity |
| Predicate | labelTermStatus |
P12717
|
FINISHED |
| Object | phased out |
—
|
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: phased out | Statement: [Tokay (historical name in Australia), labelTermStatus, phased out]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelTermStatus Context triple: [Tokay (historical name in Australia), labelTermStatus, phased out]
-
A.
hasStatusLabel
chosen
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
B.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or process.
-
C.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
D.
titleStatus
Indicates the current legal or administrative state of a title (such as ownership, validity, or processing stage) in relation to an entity or record.
-
E.
categoryStatus
Indicates the current state or condition assigned to a category within a given system or context.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:08 p.m.