Triple
T27644942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captains Flat |
E696685
|
entity |
| Predicate | currentEconomicCharacter |
P161660
|
FINISHED |
| Object | small rural 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: small rural service centre | Statement: [Captains Flat, currentEconomicCharacter, small rural service centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentEconomicCharacter Context triple: [Captains Flat, currentEconomicCharacter, small rural service centre]
-
A.
economyStatus
chosen
Indicates the current economic condition or level of prosperity associated with an entity, such as its financial health, growth, or stability.
-
B.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
C.
hasEconomyCharacteristic
Indicates that an economy possesses a particular attribute, feature, or quality.
-
D.
currencyOrEconomy
Indicates that there is a relationship involving the type, status, or characteristics of a currency or economic system associated with an entity.
-
E.
gdpCharacteristic
Indicates a characteristic, attribute, or qualitative aspect associated with a country’s or region’s gross domestic product (GDP).
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: April 27, 2026, 2:28 p.m.