Triple
T10665366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midgham railway station |
E251342
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Midgham |
E251342
|
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: Midgham | Statement: [Midgham railway station, serves, Midgham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midgham Context triple: [Midgham railway station, serves, Midgham]
-
A.
Midgham
chosen
Midgham is a small village and civil parish in West Berkshire, England, situated near the town of Thatcham.
-
B.
Sebergham
Sebergham is a rural village and civil parish in Cumbria, England, known for its scenic countryside and historic character.
-
C.
Midgley
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
-
D.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
E.
Molyneaux
Molyneaux is a surname of likely Norman origin borne by various notable individuals, including politicians such as James Molyneaux.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31f87748190bb44db8afa901763 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9566e08190a92b49ce73963078 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:08 p.m.