Triple
T5880514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rideau Centre |
E130736
|
entity |
| Predicate | hasAnchorTenant |
P11754
|
FINISHED |
| Object | Simons |
E266776
|
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: Simons | Statement: [Rideau Centre, hasAnchorTenant, Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simons Context triple: [Rideau Centre, hasAnchorTenant, Simons]
-
A.
Simons
chosen
Simons is a Dutch surname most notably associated with Menno Simons, the 16th-century religious leader whose teachings gave rise to the Mennonite movement.
-
B.
Simmons
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
-
C.
Simonis
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
-
D.
Simm
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
-
E.
Simo
Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03633f0d88190b0ecf595cb28b783 |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12d9e348190b4baf171ce448d5b |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.