Triple
T13144756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islands Region of Papua New Guinea |
E312307
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Buka |
E661065
|
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: Buka | Statement: [Islands Region of Papua New Guinea, hasMajorTown, Buka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buka Context triple: [Islands Region of Papua New Guinea, hasMajorTown, Buka]
-
A.
Buka
chosen
Buka is the main town and administrative center of Buka Island in Papua New Guinea’s Bougainville region.
-
B.
Oeffingen
Oeffingen is a district of the town of Fellbach in the German state of Baden-Württemberg.
-
C.
BOK
BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
-
D.
BOK
BOK is the station code for Berlin Ostkreuz, a major railway interchange in Berlin, Germany.
-
E.
BOK
BOK is the commonly used nickname for the BOK Center, a major multi-purpose arena in Tulsa, Oklahoma.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae675508190991ce5902768c45a |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.