Triple
T25382398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNIR |
E631425
|
entity |
| Predicate | openedToPublicInYear |
P84798
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [MNIR, openedToPublicInYear, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToPublicInYear Context triple: [MNIR, openedToPublicInYear, 1972]
-
A.
openedToPublicBy
Indicates that an entity was made accessible or available to the general public through the action or decision of another entity.
-
B.
openToPublicSince
Indicates that an entity has been accessible or available for use by the general public starting from a specified point in time.
-
C.
yearOpenedToPublic
chosen
Indicates the calendar year in which something (such as a place, facility, or service) was first made accessible to the general public.
-
D.
openedForPublic
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
E.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 1:46 p.m.