Triple
T17811539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan River |
E444718
|
entity |
| Predicate | hasFloodRiskIn |
P12640
|
FINISHED |
| Object | Logan City |
—
|
NE NERFINISHED |
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: Logan City | Statement: [Logan River, hasFloodRiskIn, Logan City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logan City Context triple: [Logan River, hasFloodRiskIn, Logan City]
-
A.
Logan City
chosen
Logan City is a local government area and urban region in South East Queensland, Australia, situated between Brisbane and the Gold Coast.
-
B.
Townsville
Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
-
C.
Townsville
Townsville is the fictional, crime-ridden yet colorful city that serves as the primary backdrop for the adventures of The Powerpuff Girls.
-
D.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
E.
Nelson City
Nelson City is a coastal urban center at the top of New Zealand’s South Island, known for its sunny climate, arts scene, and access to nearby national parks and beaches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887b5e50819098506f0b92d709b5 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.