Triple
T8597758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Tavy |
E203593
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | Hamoaze |
E138957
|
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: Hamoaze | Statement: [River Tavy, flowsInto, Hamoaze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamoaze Context triple: [River Tavy, flowsInto, Hamoaze]
-
A.
Hamoaze
chosen
Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
-
B.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
C.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
D.
Ganguise
Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
-
E.
Machimura
Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8dd86d08190a7f8e674e16dd8b6 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.