Triple
T2499593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wythenshawe |
E52431
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Sharston |
E187718
|
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: Sharston | Statement: [Wythenshawe, hasNeighbourhood, Sharston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharston Context triple: [Wythenshawe, hasNeighbourhood, Sharston]
-
A.
Sharston
chosen
Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
-
B.
Kierling
Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
-
C.
Sholto
Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
-
D.
Nicholaston
Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
-
E.
Laurieton
Laurieton is a small coastal town in New South Wales, Australia, known for its scenic setting near the Camden Haven River and proximity to national parks and beaches.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1afd86c81909181c4b45d4f8bc5 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9ed13c81909856db636bfb2e9e |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.