Triple
T21603369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uvea |
E533106
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Liku |
—
|
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: Liku | Statement: [Uvea, hasSettlement, Liku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liku Context triple: [Uvea, hasSettlement, Liku]
-
A.
Liku
chosen
Liku is a village on the island of Wallis (ʻUvea) in the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
B.
Lukiiko
Lukiiko is the traditional legislative council of the Kingdom of Buganda, serving as its main representative and advisory assembly.
-
C.
Luki
Luki is a common diminutive or nickname for the given name Lukas.
-
D.
Lika
Lika is a mountainous, sparsely populated historical region in central Croatia known for its karst landscapes, forests, and national parks such as Plitvice Lakes.
-
E.
Lyolik
Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e31c80819090fdd63b5c103acb |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.