Triple
T13973589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auki port |
E336125
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Auki |
E336124
|
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: Auki | Statement: [Auki port, locatedIn, Auki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auki Context triple: [Auki port, locatedIn, Auki]
-
A.
Auki
chosen
Auki is the provincial capital and main town of Malaita Province in the Solomon Islands, serving as its administrative and commercial center.
-
B.
Aukaans
Aukaans is a creole language spoken primarily by the Ndyuka (Aukan) Maroon community in Suriname and French Guiana.
-
C.
Aurukun
Aurukun is a remote Indigenous community and coastal town in Far North Queensland, Australia, located on the western side of Cape York Peninsula.
-
D.
Aujon
Aujon is a river in northeastern France that flows through the Haute-Marne department.
-
E.
Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.