Triple
T19421238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franekeradeel |
E485857
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Peins |
—
|
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: Peins | Statement: [Franekeradeel, contains, Peins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peins Context triple: [Franekeradeel, contains, Peins]
-
A.
Peins
chosen
Peins is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
-
B.
Painten
Painten is a small municipality in the district of Kelheim in the German state of Bavaria.
-
C.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
D.
Penebui
Penebui was an ancient Egyptian queen consort of the 2nd Dynasty pharaoh Djer, known primarily from early dynastic inscriptions and tomb evidence.
-
E.
Pantjeny
Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.