Triple
T7001972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musegg Wall |
E162356
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chapel Bridge |
E213895
|
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: Chapel Bridge | Statement: [Musegg Wall, near, Chapel Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapel Bridge Context triple: [Musegg Wall, near, Chapel Bridge]
-
A.
Chapel Bridge
chosen
Chapel Bridge is a historic 14th-century covered wooden footbridge in Lucerne, Switzerland, famous for its interior paintings and status as one of Europe’s oldest surviving wooden bridges.
-
B.
Radcliffe Bridge
Radcliffe Bridge is a notable local bridge and landmark in the town of Radcliffe, England.
-
C.
Folly Bridge
Folly Bridge is a historic stone road bridge over the River Thames in Oxford, England, known for its distinctive arches and role as a key crossing near the city center.
-
D.
Magdalen Bridge
Magdalen Bridge is a historic stone bridge in Oxford, England, spanning the River Cherwell near Magdalen College and serving as a well-known city landmark.
-
E.
Whaley Bridge
Whaley Bridge is a small town in the High Peak district of Derbyshire, England, known historically for its role in the canal and textile industries.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc1115c48190a9363473ae21b6c1 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79436bb708190a67038a717dfa842 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:33 p.m.