Triple
T17649106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pialba |
E429436
|
entity |
| Predicate | hasNearbySuburb |
P41355
|
FINISHED |
| Object | Scarness |
—
|
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: Scarness | Statement: [Pialba, hasNearbySuburb, Scarness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarness Context triple: [Pialba, hasNearbySuburb, Scarness]
-
A.
Scarness
chosen
Scarness is a coastal suburb and beachside community within Hervey Bay in Queensland, Australia, known for its foreshore parks, jetty, and tourist amenities.
-
B.
Scauri
Scauri is a coastal town in central Italy’s Lazio region, known for its beaches along the Tyrrhenian Sea and its proximity to the Gulf of Gaeta.
-
C.
The Fear
"The Fear" is a pop song by English singer-songwriter Lily Allen that critiques consumerism and celebrity culture with satirical lyrics over a catchy, upbeat production.
-
D.
The Fear
The Fear is a notable work by British television producer and executive George Faber, recognized within his body of influential UK screen productions.
-
E.
The Fear
"The Fear" is a poem by Robert Frost that explores themes of anxiety, suspicion, and psychological tension in a rural New England setting.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3bc2f8819092e3365d9e798386 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.