Triple
T14952125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vredenburg square |
E372820
|
entity |
| Predicate | hasNearbyShoppingCentre |
P5648
|
FINISHED |
| Object | Hoog Catharijne |
E967945
|
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: Hoog Catharijne | Statement: [Vredenburg square, hasNearbyShoppingCentre, Hoog Catharijne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoog Catharijne Context triple: [Vredenburg square, hasNearbyShoppingCentre, Hoog Catharijne]
-
A.
Hoog Catharijne
chosen
Hoog Catharijne is a large, modern shopping mall and transit hub in the center of Utrecht, Netherlands.
-
B.
Geertruida
Geertruida is a Dutch feminine given name, corresponding to the English name Gertrude.
-
C.
Sint-Joris
Sint-Joris is a village and sub-municipality of Nieuwpoort in West Flanders, Belgium, known for its rural character and proximity to the Yser River.
-
D.
Sint Anthonis
Sint Anthonis is a village in the Dutch province of North Brabant, known for its rural character and surrounding heath and forest landscapes.
-
E.
Dignom Cornelisdochter de Haes
Dignom Cornelisdochter de Haes was the wife of Dutch admiral Maarten Tromp, a prominent naval commander of the 17th century.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.