Triple
T30140002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inekon |
E766101
|
entity |
| Predicate | transportSubmode |
P195138
|
FINISHED |
| Object | tramway |
—
|
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: tramway | Statement: [Inekon, transportSubmode, tramway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportSubmode Context triple: [Inekon, transportSubmode, tramway]
-
A.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
transportModeTo
Indicates the means or mode of transportation used to travel to a specified destination.
-
C.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
D.
transportPattern
Indicates a recurring or characteristic way in which transportation is carried out between entities, such as typical routes, modes, or schedules.
-
E.
transportOptions
Indicates the available means or methods by which something or someone can be transported from one place to another.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
| PDg | Predicate description generation | batch_69fda945e1e08190bf923fcd4d2c548a |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 29, 2026, 7:17 p.m.