Triple
T6522101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romsey railway station |
E151208
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Romsey |
E320537
|
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: Romsey | Statement: [Romsey railway station, locatedIn, Romsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romsey Context triple: [Romsey railway station, locatedIn, Romsey]
-
A.
Romsey
chosen
Romsey is a historic market town in Hampshire, England, known for its medieval abbey and riverside setting.
-
B.
Romsey Abbey
Romsey Abbey is a historic former Benedictine nunnery and parish church in Hampshire, England, noted for its impressive Norman architecture and royal connections.
-
C.
Amesbury
Amesbury is a historic town in Wiltshire, England, best known for its proximity to the prehistoric monument of Stonehenge.
-
D.
Bramber
Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
-
E.
Kingswear
Kingswear is a village and civil parish on the south bank of the River Dart in Devon, England, known for its picturesque harbor and ferry link to Dartmouth.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5204e78819082bf991c2ece09df |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.