Triple
T16597620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centrum, The Hague |
E403249
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lange Voorhout |
E241061
|
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: Lange Voorhout | Statement: [Centrum, The Hague, contains, Lange Voorhout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lange Voorhout Context triple: [Centrum, The Hague, contains, Lange Voorhout]
-
A.
Lange Voorhout
chosen
Lange Voorhout is a historic, tree-lined avenue in the center of The Hague, Netherlands, known for its stately buildings, cultural institutions, and seasonal art and antique markets.
-
B.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
C.
Hoveniersstraat
Hoveniersstraat is a prominent street in Antwerp, Belgium, renowned as a central hub of the city's diamond trade and industry.
-
D.
Kortenberglaan
Kortenberglaan is a major avenue in Brussels, Belgium, running through the European Quarter and lined with offices, embassies, and EU-related institutions.
-
E.
Scheveningen Boulevard
Scheveningen Boulevard is a popular seaside promenade in The Hague, Netherlands, known for its beaches, restaurants, and coastal attractions.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d7367308190bf57b4a6a7bd33cc |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a226788190bfad73ffb6b32ec4 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.