Triple
T19888729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Istanbul |
E477971
|
entity |
| Predicate | historicallyOperatedAcross |
P137712
|
FINISHED |
| Object | multiple national railway systems |
—
|
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: multiple national railway systems | Statement: [Paris–Istanbul, historicallyOperatedAcross, multiple national railway systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyOperatedAcross Context triple: [Paris–Istanbul, historicallyOperatedAcross, multiple national railway systems]
-
A.
historicallyOperatedIn
Indicates that an entity carried out its activities or operations within a particular location or context during a past time period.
-
B.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
C.
operatedBefore
Indicates that one entity performed an operation or action at an earlier time than another entity.
-
D.
operatedAs
Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
-
E.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590c1b9c8190abbfaa04b80713b3 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.