Triple
T5840627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SL79 tram |
E129582
|
entity |
| Predicate | lowFloor |
P66651
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [SL79 tram, lowFloor, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowFloor Context triple: [SL79 tram, lowFloor, no]
-
A.
lowFloorPercentage
Indicates the proportion of items, units, or instances that fall at or below a defined lower threshold or minimum level.
-
B.
hasLowerFloor
Indicates that one location, structure, or level includes or is directly connected to a floor situated below another floor.
-
C.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
D.
lowestWorld
Indicates that the referenced world has the minimal value (e.g., in rank, cost, or some ordering) among a set of worlds.
-
E.
lowerCourseEnvironment
Indicates that one course is conducted in a less advanced or less demanding learning environment compared to another course.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 3:54 p.m.