Triple
T21321743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belfry of Tielt |
E525633
|
entity |
| Predicate | hasViewOver |
P1323
|
FINISHED |
| Object | Tielt town centre |
—
|
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: Tielt town centre | Statement: [Belfry of Tielt, hasViewOver, Tielt town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tielt town centre Context triple: [Belfry of Tielt, hasViewOver, Tielt town centre]
-
A.
Tiel town centre
Tiel town centre is the historic and commercial heart of the Dutch city of Tiel, featuring shops, restaurants, and cultural landmarks within a compact urban core.
-
B.
Tielt
chosen
Tielt is a small city in West Flanders, Belgium, known for its regional services, education facilities, and local cultural events.
-
C.
Binnenstad Tiel
Binnenstad Tiel is the historic city center and main commercial district of the Dutch town of Tiel.
-
D.
city of Tiel
The city of Tiel is a historic municipality in the Dutch province of Gelderland, situated along the River Waal and known as a regional center in the Betuwe fruit-growing area.
-
E.
Nieuwendijk shopping street
Nieuwendijk shopping street is one of Amsterdam’s oldest and busiest pedestrian shopping streets, lined with a mix of international chains, local boutiques, and eateries.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed2640c8190a81b087e2c49c500 |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:40 p.m.