Triple
T9074842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woluwe-Saint-Pierre |
E217458
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Stockel |
E288963
|
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: Stockel | Statement: [Woluwe-Saint-Pierre, contains, Stockel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stockel Context triple: [Woluwe-Saint-Pierre, contains, Stockel]
-
A.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
B.
Steenberg
Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
-
C.
Balke
Balke is a Norwegian surname most notably associated with the 19th-century landscape painter Peder Balke.
-
D.
Stockel – Stokkel
chosen
Stockel – Stokkel is a metro station in the eastern part of Brussels serving as the terminus of line 1.
-
E.
Pontsteiger
Pontsteiger is a prominent waterfront residential and mixed-use complex in Amsterdam’s Houthaven district, known for its striking arch-shaped architecture and views over the IJ river.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c4026c8190b553aedb9f4beabb |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdfe16c4819092c884bc3fe5daeb |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:12 p.m.