Triple
T18802962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaweg |
E459802
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Malaueg |
—
|
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: Malaueg | Statement: [Malaweg, alternateName, Malaueg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaueg Context triple: [Malaweg, alternateName, Malaueg]
-
A.
Malaueg
chosen
Malaueg is an Austronesian language spoken by the Malaueg people in the northern Philippines, particularly in the province of Cagayan.
-
B.
Stavenhagen
Stavenhagen is a small town in northeastern Germany known for its historical architecture and its association with the writer Fritz Reuter.
-
C.
Eidsvold
Eidsvold is a rural town in Queensland, Australia, known historically for cattle grazing and gold mining along the Burnett River.
-
D.
Ekornes
Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
-
E.
Rødberg
Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a0253f748190998995e3b1524357 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.