Triple
T35290402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam (via Uithoorn) |
E1019205
|
entity |
| Predicate | typicalModes |
P206909
|
FINISHED |
| Object | bus |
—
|
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: bus | Statement: [Amsterdam (via Uithoorn), typicalModes, bus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalModes Context triple: [Amsterdam (via Uithoorn), typicalModes, bus]
-
A.
primaryModes
Indicates the main methods, forms, or channels through which something typically operates, is expressed, or is carried out.
-
B.
typicalPerformanceMode
Indicates the usual or most common way in which an entity performs an action or operates.
-
C.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
D.
modeBDescription
Indicates the descriptive label or explanation associated with a specific operational or behavioral mode B.
-
E.
modeADescription
Indicates the descriptive text or explanation associated with a particular mode of operation or state.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.