Triple
T8689818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Brussels |
E206256
|
entity |
| Predicate | changeOfTerminusYear |
P73142
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [London–Brussels, changeOfTerminusYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changeOfTerminusYear Context triple: [London–Brussels, changeOfTerminusYear, 2007]
-
A.
transitionYear
Indicates the specific year in which a change, shift, or transition from one state, condition, or phase to another occurs.
-
B.
redesignationYear
chosen
Indicates the year in which something was officially redesignated, renamed, or assigned a new status or classification.
-
C.
travelEndYear
Indicates the year in which a travel event or journey concludes.
-
D.
presidentialTermChangeYear
Indicates the year in which a change of presidential term occurs, such as when one president’s term ends and another’s begins.
-
E.
cancellationYear
Indicates the year in which something (such as an event, contract, or service) was officially canceled or terminated.
- F. None of above.
Provenance (3 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.