Triple
T2302684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Park |
E51767
|
entity |
| Predicate | openedToThePublic |
P18215
|
FINISHED |
| Object | 1747 |
—
|
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: 1747 | Statement: [Phoenix Park, openedToThePublic, 1747]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToThePublic Context triple: [Phoenix Park, openedToThePublic, 1747]
-
A.
openedForPublic
Indicates that something has been made accessible or available for use, entry, or participation by the general public.
-
B.
openToPublicSince
chosen
Indicates that an entity has been accessible or available for use by the general public starting from a specified point in time.
-
C.
openedToPublicAsMuseum
Indicates that a place or building was made accessible to the general public specifically in the capacity of a museum.
-
D.
notOpenToGeneralPublic
Indicates that access to the subject is restricted and not available to the general public.
-
E.
openedForUse
Indicates that something has been made accessible and available for its intended operation or 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.