Triple
T22303702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadjang |
E551320
|
entity |
| Predicate | associatedWithPeople |
P2830
|
FINISHED |
| Object | Worimi |
—
|
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: Worimi | Statement: [Gadjang, associatedWithPeople, Worimi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worimi Context triple: [Gadjang, associatedWithPeople, Worimi]
-
A.
Worimi land
chosen
Worimi land refers to the traditional Country of the Worimi people, an Aboriginal nation of the New South Wales mid-north coast region in Australia.
-
B.
Wamuran
Wamuran is a rural locality in Queensland, Australia, known for its farming community and position within the Moreton Bay region north of Brisbane.
-
C.
Wadomari
Wadomari is a small coastal town on Okinoerabujima in Japan’s Kagoshima Prefecture, known for its subtropical climate and role as a local hub in the Amami archipelago.
-
D.
Ewohimi
Ewohimi is a historic Esan town in Edo State, Nigeria, known for its rich cultural heritage and traditional institutions.
-
E.
Wolmido
Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15725de488190a32006cd99dd4a67 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.