Triple
T5519565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laeken |
E144770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Heysel Plateau |
E235402
|
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: Heysel Plateau | Statement: [Laeken, contains, Heysel Plateau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heysel Plateau Context triple: [Laeken, contains, Heysel Plateau]
-
A.
Heysel Plateau
chosen
The Heysel Plateau is a prominent area in northern Brussels known for hosting major exhibition halls, the Atomium landmark, and various cultural and recreational facilities.
-
B.
Murnau Moor
Murnau Moor is a large, ecologically significant bog and nature reserve in Bavaria, Germany, known for its unique wetland landscapes and biodiversity.
-
C.
Hallein
Hallein is a historic town in the Austrian state of Salzburg, known for its former salt mines and picturesque location along the Salzach River.
-
D.
Telegrafenberg hill
Telegrafenberg hill is a historic science campus in Potsdam, Germany, known for hosting several prominent research institutes and observatories.
-
E.
Havelterberg
Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f6eb604819092e9b2207dc741a9 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027e57ed88190b2ff3245226851d1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.