Triple
T5762242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mint Tower |
E127122
|
entity |
| Predicate | hasDutchName |
P744
|
FINISHED |
| Object | Munttoren |
E24383
|
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: Munttoren | Statement: [Mint Tower, hasDutchName, Munttoren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munttoren Context triple: [Mint Tower, hasDutchName, Munttoren]
-
A.
Munttoren
chosen
Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
-
B.
Schmalzturm
Schmalzturm is a historic medieval tower in the Bavarian town of Landsberg am Lech, notable as a landmark of its old town fortifications.
-
C.
Schmalzturm
Schmalzturm is a historic medieval tower and notable architectural landmark in the Bavarian town of Weißenburg in Bayern, Germany.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Murgtal
Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0293bbf2081908d40d76c4eb863ae |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a16b9eac8190a3760557e2aebb45 |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:49 p.m.