Triple
T16604374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional New South Wales |
E403412
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Taree |
E52795
|
NE 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: Taree | Statement: [Regional New South Wales, hasPart, Taree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taree Context triple: [Regional New South Wales, hasPart, Taree]
-
A.
Taree
chosen
Taree is a regional town in New South Wales, Australia, situated on the Manning River and serving as a commercial and service hub for the surrounding agricultural and coastal communities.
-
B.
Runga
Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
-
C.
Tariro
Tariro is a small settlement located on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Tavewa
Tavewa is a small island in Fiji’s Yasawa archipelago, known for its beaches, snorkeling, and backpacker-friendly resorts.
-
E.
Tongaat
Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3608ff1a481909084e7ad984b0f95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a67abc8190b0f29a9e4589befb |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.