Triple
T2013971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M40 motorway |
E43750
|
entity |
| Predicate | completedAsContinuousRoute |
P34497
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [M40 motorway, completedAsContinuousRoute, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completedAsContinuousRoute Context triple: [M40 motorway, completedAsContinuousRoute, 1991]
-
A.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
B.
completedBefore
Indicates that one event or action was fully completed prior to the start or completion of another specified event or action.
-
C.
parallelRoute
Indicates that one route runs alongside and in the same general direction as another route without intersecting it.
-
D.
completionRate
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
-
E.
continuityFrom
Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b42d508190bf2b63132bb2ad77 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:37 p.m.