Triple
T12346980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angaston |
E294380
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tanunda |
E291938
|
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: Tanunda | Statement: [Angaston, locatedNear, Tanunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanunda Context triple: [Angaston, locatedNear, Tanunda]
-
A.
Tanunda
chosen
Tanunda is a prominent town in South Australia's Barossa Valley wine region, known for its rich German heritage and surrounding vineyards.
-
B.
Tandi
Tandi is a small town in Himachal Pradesh, India, known as a key junction in the Lahaul region where major mountain rivers meet and as a common stopover for travelers in the Himalayas.
-
C.
Tantamani
Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
-
D.
Tunduma
Tunduma is a border town in southern Tanzania that serves as a major road and rail gateway for trade and travel between Tanzania and Zambia.
-
E.
Tambo
Tambo is a South African surname most prominently associated with anti-apartheid leader Oliver Tambo.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7ba17481908b03af7316b28d9b |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.