Triple
T23383380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hever railway station |
E593810
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hever |
—
|
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: Hever | Statement: [Hever railway station, locatedIn, Hever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hever Context triple: [Hever railway station, locatedIn, Hever]
-
A.
Hever
chosen
Hever is a village in Kent, England, best known as the location of the historic Hever Castle, former childhood home of Anne Boleyn.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Holtenau
Holtenau is a district of the city of Kiel in northern Germany, situated at the entrance of the Kiel Canal and known for its maritime and aviation facilities.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Hasselager
Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a496ae34819090e86c89eef6d2dc |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:34 p.m.