Triple
T34381820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Knock |
E882458
|
entity |
| Predicate | hasRecognitionYear |
P8111
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Our Lady of Knock, hasRecognitionYear, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecognitionYear Context triple: [Our Lady of Knock, hasRecognitionYear, 1936]
-
A.
GIRecognitionYear
Indicates the year in which a particular geographical indication (GI) was formally recognized or registered.
-
B.
IOCRecognitionYear
Indicates the year in which an entity received official recognition from the International Olympic Committee (IOC).
-
C.
AOPRecognitionYear
Indicates the year in which an entity received or was formally granted AOP (Appellation d’Origine Protégée) recognition.
-
D.
yearOfFame
Indicates the specific year in which an entity achieved fame or became widely recognized.
-
E.
yearHonored
chosen
Indicates the specific year in which an entity received an honor, award, or formal recognition.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.