Triple
T903773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Tramway |
E19501
|
entity |
| Predicate | replacedModeOfTransport |
P20204
|
FINISHED |
| Object | horse-drawn trams |
—
|
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: horse-drawn trams | Statement: [Lisbon Tramway, replacedModeOfTransport, horse-drawn trams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedModeOfTransport Context triple: [Lisbon Tramway, replacedModeOfTransport, horse-drawn trams]
-
A.
replacedRollingStock
Indicates that one rolling stock asset has been substituted or superseded by another in service or operational use.
-
B.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
C.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
-
D.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
E.
causeOfChangeOfDestination
Indicates that one entity is the reason or trigger for another entity changing its intended destination.
- F. None of above. chosen
Provenance (4 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.