Triple
T24949495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harding Memorial |
E624286
|
entity |
| Predicate | dedicationYear |
P157808
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Harding Memorial, dedicationYear, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicationYear Context triple: [Harding Memorial, dedicationYear, 1931]
-
A.
compilationYear
Indicates the year in which a work, collection, or set of materials was compiled or assembled into its final form.
-
B.
definitionYear
Indicates the year in which something was formally defined, established, or given its official definition.
-
C.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
-
D.
seriesYear
Indicates the year in which a series (such as a TV show, book series, or event series) is released, set, or primarily associated.
-
E.
compositionYear
Indicates the year in which a work (such as a piece of music, art, or literature) was originally created or composed.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:55 a.m.