Triple
T7403288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Hall (Ordsall Hall) |
E170802
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ordsall Hall |
E29630
|
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: Ordsall Hall | Statement: [Great Hall (Ordsall Hall), partOf, Ordsall Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ordsall Hall Context triple: [Great Hall (Ordsall Hall), partOf, Ordsall Hall]
-
A.
Ordsall Hall
chosen
Ordsall Hall is a historic Tudor manor house in Salford, England, renowned for its timber-framed architecture and centuries-old heritage.
-
B.
Wythenshawe Hall
Wythenshawe Hall is a historic timber-framed manor house in Wythenshawe, Manchester, known for its Tudor architecture and role as a local heritage museum.
-
C.
Longshaw Estate
Longshaw Estate is a scenic National Trust property in the Peak District National Park, known for its moorland, woodlands, walking trails, and historic lodge.
-
D.
Ordsall
Ordsall is an inner-city district of Salford in Greater Manchester, England, known for its historic Ordsall Hall and proximity to Manchester city centre.
-
E.
Langdell Hall
Langdell Hall is the main library and iconic central building of Harvard Law School, housing one of the largest academic law collections in the world.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81110d7648190a8938db7061be454 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.