Triple
T22153933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkelland |
E547484
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Berkel |
—
|
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: Berkel | Statement: [Berkelland, namedAfter, Berkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkel Context triple: [Berkelland, namedAfter, Berkel]
-
A.
Berkel
chosen
The Berkel is a river in the eastern Netherlands and western Germany that flows through the Achterhoek region before joining the IJssel.
-
B.
Hanford
Hanford is a surname of English origin borne by various notable individuals, including American politician Mary Elizabeth Alexander Hanford (Elizabeth Dole).
-
C.
Hanford
Hanford is a small agricultural and commercial city in California’s San Joaquin Valley, known as a regional hub for farming, dairy production, and historic downtown architecture.
-
D.
Hanford
Hanford is a village in Staffordshire, England, situated near the town of Trentham and forming part of the wider Stoke-on-Trent urban area.
-
E.
Livermore
Livermore is a city in California’s Tri-Valley region known for its wine country, historic downtown, and proximity to major scientific research facilities.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f6d5b88190badee2e515a3b633 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.