Triple
T21742047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kempton Park railway station |
E536680
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Hanworth |
—
|
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: Hanworth | Statement: [Kempton Park railway station, nearbySettlement, Hanworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanworth Context triple: [Kempton Park railway station, nearbySettlement, Hanworth]
-
A.
Hanworth
chosen
Hanworth is a suburban residential area in west London, England, known for its parks, local amenities, and proximity to Heathrow Airport.
-
B.
Hanau
Hanau is a town in the German state of Hesse, known as an important regional center and the birthplace of the Brothers Grimm.
-
C.
Wallenhorst
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
-
D.
Hückeswagen
Hückeswagen is a small historic town in western Germany’s North Rhine-Westphalia, known for its medieval castle and location in the hilly Bergisches Land region.
-
E.
Ritterhude
Ritterhude is a small town in northern Germany’s Lower Saxony, situated just northwest of Bremen.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7322348190b2145fa922c480ed |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.