Triple
T3680058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Wyalong |
E78088
|
entity |
| Predicate | currentEconomicRole |
P2223
|
FINISHED |
| Object | agricultural service centre |
—
|
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: agricultural service centre | Statement: [West Wyalong, currentEconomicRole, agricultural service centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentEconomicRole Context triple: [West Wyalong, currentEconomicRole, agricultural service centre]
-
A.
hasEconomicRole
chosen
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
B.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
C.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
D.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
E.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49153ec81909ff3a3df54416d0e |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.