Triple
T12132174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Brussels Metro) |
E288959
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Simonis |
E288965
|
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: Simonis | Statement: [Line 2 (Brussels Metro), servesStation, Simonis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simonis Context triple: [Line 2 (Brussels Metro), servesStation, Simonis]
-
A.
Simonis
chosen
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
-
B.
Simoni
Simoni is an Italian surname most notably associated with Gigi Simoni, a respected former football player and manager.
-
C.
Sijmons
Sijmons is a surname variant of Simons, commonly found in Dutch-speaking regions.
-
D.
Simson
Simson is a surname and given name that serves as a variant spelling of "Simpson," used by various individuals and families in different cultural and historical contexts.
-
E.
Seimone
Seimone is a feminine given name most notably associated with WNBA star Seimone Augustus.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68c8ee081908a0331805f62cb0d |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.