Triple
T22071755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Munt |
E545424
|
entity |
| Predicate | hasDutchName |
P744
|
FINISHED |
| Object | De Munt |
—
|
NE NERFINISHED |
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: De Munt | Statement: [De Munt, hasDutchName, De Munt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Munt Context triple: [De Munt, hasDutchName, De Munt]
-
A.
De Munt
chosen
De Munt is the Dutch name for the historic Mint Tower, a notable landmark in central Amsterdam.
-
B.
Le Cinéma
Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
-
C.
Het Nieuwe Instituut
Het Nieuwe Instituut is a Dutch national museum and cultural center in Rotterdam focused on architecture, design, and digital culture.
-
D.
Gance
Gance is the surname of Abel Gance, the pioneering French film director best known for his innovative silent epic "Napoléon."
-
E.
La Cinéfacture
La Cinéfacture is a film production company best known for its involvement in acclaimed international cinema such as "Call Me by Your Name."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12888dcc08190b18d3d44d09ab943 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.