Triple
T12102202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Opposition in New South Wales |
E288217
|
entity |
| Predicate | hasSpokespersons |
P8470
|
FINISHED |
| Object | shadow ministers |
—
|
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: shadow ministers | Statement: [Official Opposition in New South Wales, hasSpokespersons, shadow ministers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokespersons Context triple: [Official Opposition in New South Wales, hasSpokespersons, shadow ministers]
-
A.
hasOfficialSpokespersons
chosen
Indicates that an entity is formally represented or spoken for by one or more designated spokespersons in an official capacity.
-
B.
hasSpeakersAmong
Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
-
C.
hasSpeakersIn
Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
-
D.
spokesRepresent
Indicates that spokes act as representatives or intermediaries on behalf of another entity or central hub.
-
E.
speakers
Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.