Triple
T3645055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lijnden |
E77278
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Zwanenburg |
E270652
|
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: Zwanenburg | Statement: [Lijnden, locatedNear, Zwanenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zwanenburg Context triple: [Lijnden, locatedNear, Zwanenburg]
-
A.
Rozenburg
Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
-
B.
Rozenburg
chosen
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
-
C.
Goudswaard
Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
D.
Winschoten
Winschoten is a town in the northeast of the Netherlands known historically as a regional trade center and for its traditional windmills and Jewish heritage.
-
E.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35da84c81908950de92ba171fa3 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f0989c88190b4c675c7a6ec0e3e |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:24 p.m.