Triple
T3117814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of the Queenship of Mary |
E65103
|
entity |
| Predicate | dateRevisionYear |
P45458
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Feast of the Queenship of Mary, dateRevisionYear, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateRevisionYear Context triple: [Feast of the Queenship of Mary, dateRevisionYear, 1969]
-
A.
majorRevisionYear
Indicates the year in which a significant or primary revision of something (such as a work, document, or standard) was made.
-
B.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
-
C.
elevationRevisionYear
Indicates the year in which the elevation value for an entity was last revised or updated.
-
D.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
E.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e73cc88190846ef37ccf1a0de7 |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.