Triple
T34698054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Streets |
E891084
|
entity |
| Predicate | crossesCanal |
P88936
|
FINISHED |
| Object | Herengracht |
—
|
NE NERFINISHED |
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: Herengracht | Statement: [Nine Streets, crossesCanal, Herengracht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossesCanal Context triple: [Nine Streets, crossesCanal, Herengracht]
-
A.
hasCanalCrossing
chosen
Indicates that one entity is connected to or traversed by another via a canal crossing, such as a bridge, aqueduct, or similar structure over a canal.
-
B.
waterwayTypeCrossed
Indicates the specific kind of waterway (e.g., river, canal, stream) that is being crossed in the described relationship or action.
-
C.
hasBridgeCrossings
Indicates that one entity has one or more bridge structures that span across or connect over another entity (such as a road, river, or area).
-
D.
crossesWaterBody
Indicates that an entity moves from one side of a water body to the other by passing over, through, or across it.
-
E.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
- F. None of above.
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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 2:05 a.m.