Triple
T14982156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batthyány tér |
E373603
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Margaret Bridge |
E458146
|
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: Margaret Bridge | Statement: [Batthyány tér, near, Margaret Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Bridge Context triple: [Batthyány tér, near, Margaret Bridge]
-
A.
Margaret Bridge
chosen
Margaret Bridge is a historic arch bridge in Budapest that spans the Danube River, linking the Buda and Pest sides of the city and providing access to Margaret Island.
-
B.
Ewen Bridge
Ewen Bridge is a road bridge spanning the Hutt River in the Wellington region of New Zealand, serving as a key local transport link.
-
C.
Sandfield Bridge
Sandfield Bridge is a road bridge spanning the Gloucester and Sharpness Canal in Gloucestershire, England.
-
D.
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.
-
E.
Rea Bridge
Rea Bridge is a bridge spanning the Gloucester and Sharpness Canal in Gloucestershire, England, serving as a crossing point for local road and foot traffic.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebe275c819094473d37cf33c7d0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 2:52 a.m.