Triple
T10221064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reiderland |
E242579
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Beerta |
E242577
|
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: Beerta | Statement: [Reiderland, containsSettlement, Beerta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beerta Context triple: [Reiderland, containsSettlement, Beerta]
-
A.
Beerta
chosen
Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
-
B.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
C.
Beita
Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
-
D.
Bellenberg
Bellenberg is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Beerzelberg
Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f70a23288190a1dbb67324cfd799 |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:09 a.m.