Triple
T17787852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweed River |
E444065
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Uki |
E909545
|
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: Uki | Statement: [Tweed River, flowsNear, Uki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uki Context triple: [Tweed River, flowsNear, Uki]
-
A.
Uki
Uki is a coastal city in central Kyushu, Japan, known for its fishing industry, scenic seaside landscapes, and proximity to the city of Kumamoto.
-
B.
Uki
chosen
Uki is a small rural village in the Tweed Valley region of northern New South Wales, Australia, known for its scenic hinterland setting near Mount Warning (Wollumbin).
-
C.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
-
D.
Uken
Uken is a small coastal town located on Amami Ōshima in Kagoshima Prefecture, Japan, known for its subtropical climate and natural scenery.
-
E.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48794542c8190b049bce6e28c9f3a |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f835db9481909d314c17a7c59952 |
completed | May 12, 2026, 9:51 a.m. |
Created at: April 10, 2026, 10:12 a.m.