Triple
T11550214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels railway stations |
E273869
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Meiser
Meiser is a local railway station in Brussels, Belgium, serving regional commuter traffic within the city’s public transport network.
|
E932666
|
NE FINISHED |
How this triple was built (4 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: Meiser | Statement: [Brussels railway stations, hasStation, Meiser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meiser Context triple: [Brussels railway stations, hasStation, Meiser]
-
A.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
-
B.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
-
C.
Metzeresche
Metzeresche is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
-
D.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
E.
Lebzelter
Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Meiser Triple: [Brussels railway stations, hasStation, Meiser]
Generated description
Meiser is a local railway station in Brussels, Belgium, serving regional commuter traffic within the city’s public transport network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meiser Target entity description: Meiser is a local railway station in Brussels, Belgium, serving regional commuter traffic within the city’s public transport network.
-
A.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
-
B.
Yehudi
Yehudi is a masculine given name most famously associated with the renowned violinist Yehudi Menuhin.
-
C.
Metzeresche
Metzeresche is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
-
D.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
E.
Lebzelter
Lebzelter is the original surname of American character actor Jack Warden, known for his prolific film and television career in the mid-20th century.
- F. None of above. chosen
Provenance (5 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a83f1e88190aabf11a4c8a6c9e5 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8396ed081909bdf381db3dacd62 |
completed | April 21, 2026, 3 a.m. |
| NEDg | Description generation | batch_69e6ef8fca248190bc2fdd8457258874 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f9144afc819081ee7f78e32ad39a |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.