Triple
T11498026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prinsengracht |
E272593
|
entity |
| Predicate | formsWith |
P6653
|
FINISHED |
| Object | Singel |
E3947
|
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: Singel | Statement: [Prinsengracht, formsWith, Singel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singel Context triple: [Prinsengracht, formsWith, Singel]
-
A.
Singel
chosen
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
B.
Singles
Singles is a 1992 romantic comedy-drama film set in Seattle that follows the intertwined love lives of young adults amid the early 1990s grunge music scene.
-
C.
Singur
Singur is a town in West Bengal, India, known nationally for its role in a major land acquisition and industrialization controversy involving the proposed Tata Nano car factory.
-
D.
Song
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
-
E.
Singen
Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60497be2c8190a82362280e51698a |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.