Triple
T18739989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormont, Belfast |
E458262
|
entity |
| Predicate | firstOneDayInternationalYear |
P29292
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Stormont, Belfast, firstOneDayInternationalYear, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOneDayInternationalYear Context triple: [Stormont, Belfast, firstOneDayInternationalYear, 2006]
-
A.
firstOneDayInternational
chosen
Indicates that the subject entity played its first One Day International (ODI) cricket match on the specified date or against the specified opponent.
-
B.
firstInternationalYear
Indicates that the referenced year is the first year in which the entity participated in or was involved in an international context or activity.
-
C.
firstInternationalDate
Indicates that one entity is the earliest (chronologically first) international date associated with another entity.
-
D.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
E.
firstTourYear
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768d6a208190817abe904fab433b |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.