Triple
T6250825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erasmus Bridge |
E140040
|
entity |
| Predicate | hasTramTracks |
P17788
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Erasmus Bridge, hasTramTracks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTramTracks Context triple: [Erasmus Bridge, hasTramTracks, yes]
-
A.
hasTramway
chosen
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
B.
hasRailroadTracksRunningThroughDowntown
Indicates that railroad tracks physically pass through and traverse the central downtown area of a place.
-
C.
hasTramHistory
Indicates that there exists a historical association or record of tram-related activity or infrastructure involving the subject.
-
D.
hasRackRailway
Indicates that one entity possesses or includes a rack railway system connecting locations or operating within its area.
-
E.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633dde348190bbf02a943d94e3be |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.