Triple
T1322115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muntplein |
E28240
|
entity |
| Predicate | hasNameOrigin |
P3325
|
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: [Muntplein, hasNameOrigin, Munttoren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munttoren Context triple: [Muntplein, hasNameOrigin, 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.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Mönch
Mönch is a prominent mountain peak in the Swiss Bernese Alps, forming part of the famous Eiger–Mönch–Jungfrau trio.
-
D.
Käfigturm
Käfigturm is a historic medieval tower and former city gate in Bern, Switzerland, now serving as a prominent landmark and cultural venue.
-
E.
Munnik
Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62764d88190b7d1fca10835f560 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:55 p.m.