Triple
T18739990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormont, Belfast |
E458262
|
entity |
| Predicate | firstTwenty20InternationalYear |
P26330
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Stormont, Belfast, firstTwenty20InternationalYear, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTwenty20InternationalYear Context triple: [Stormont, Belfast, firstTwenty20InternationalYear, 2008]
-
A.
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.
-
B.
fifaU20WWC_titleYear
Indicates the specific year in which a team or entity won the FIFA U-20 Women's World Cup title.
-
C.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
D.
firstInternationalDate
Indicates that one entity is the earliest (chronologically first) international date associated with another entity.
-
E.
firstT20IYear
chosen
Indicates the year in which an entity (typically a player or team) first participated in a Twenty20 International (T20I) match.
- 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.