Triple
T470333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brouwersgracht |
E8540
|
entity |
| Predicate | hasNotableIntersection |
P13379
|
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: [Brouwersgracht, hasNotableIntersection, Singel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Singel Context triple: [Brouwersgracht, hasNotableIntersection, 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.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
C.
MV
MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
-
D.
The Concert
The Concert is an unfinished and now missing painting by Dutch Golden Age master Johannes Vermeer, depicting an intimate scene of three figures making music in a domestic interior.
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2f01ec5148190b74e1727712f1163 |
completed | Feb. 28, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c5c08108190bd043ae4f8908fc6 |
completed | March 1, 2026, 4:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.