Triple
T17787851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweed River |
E444065
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Tumbulgum |
—
|
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: Tumbulgum | Statement: [Tweed River, flowsThrough, Tumbulgum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumbulgum Context triple: [Tweed River, flowsThrough, Tumbulgum]
-
A.
Tumbulgum
chosen
Tumbulgum is a small rural village in northern New South Wales, Australia, situated on the banks of the Tweed River and known for its scenic valley setting.
-
B.
Tumbum
Tumbum is a popular Afro-pop song by Nigerian artist Yemi Alade, known for its catchy chorus and vibrant, danceable rhythm.
-
C.
Waitabula
Waitabula is a town in Indonesia that serves as the administrative and economic center of West Sumba Regency in East Nusa Tenggara.
-
D.
Bonegilla
Bonegilla is a rural locality in northeastern Victoria, Australia, best known as the site of the former Bonegilla Migrant Reception and Training Centre that played a major role in post–World War II immigration.
-
E.
Dumbrille
Dumbrille is a surname most notably associated with Canadian character actor Douglass Dumbrille, known for his prolific work in early Hollywood films.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48794542c8190b049bce6e28c9f3a |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.