Triple
T3912870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southampton Water |
E87363
|
entity |
| Predicate | adjacentVillage |
P3883
|
FINISHED |
| Object | Netley |
E368717
|
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: Netley | Statement: [Southampton Water, adjacentVillage, Netley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Netley Context triple: [Southampton Water, adjacentVillage, Netley]
-
A.
Netley
chosen
Netley is a coastal village in Hampshire, England, known for its historic Netley Abbey ruins and proximity to Southampton Water.
-
B.
Aldershot
Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
-
C.
Buckhaven
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
D.
Rottingdean
Rottingdean is a historic coastal village in East Sussex, England, known for its picturesque setting and associations with notable artists and writers.
-
E.
Gosport
Gosport is a coastal town and borough on the south coast of England, situated opposite Portsmouth Harbour in the county of Hampshire.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef90e5f408190abf8353e153d1558 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285c52808190b9cbb2e3e03a18cb |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:22 p.m.