Triple
T13659403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minden Cathedral |
E326946
|
entity |
| Predicate | locatedInOldTown |
P40
|
FINISHED |
| Object | Minden old town |
E177242
|
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: Minden old town | Statement: [Minden Cathedral, locatedInOldTown, Minden old town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minden old town Context triple: [Minden Cathedral, locatedInOldTown, Minden old town]
-
A.
Minden
chosen
Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
-
B.
Minden
Minden is a small city in northwestern Louisiana known for its historic downtown, antebellum homes, and role as the seat of Webster Parish.
-
C.
Minley
Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
-
D.
City of Minden
The City of Minden is a historic German town that played a role in the Reformation-era Schmalkaldic League of Protestant territories.
-
E.
Neuenhain
Neuenhain is a district of the spa town Bad Soden am Taunus in Hesse, Germany, known for its residential character and proximity to the Taunus hills.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61f0d808190b1cd2a6ba0d930eb |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b06c5d081909d31b8a537c94edb |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.