Triple
T97524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Deco |
E1964
|
entity |
| Predicate | majorExpositionYear |
P3484
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Art Deco, majorExpositionYear, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorExpositionYear Context triple: [Art Deco, majorExpositionYear, 1925]
-
A.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
B.
yearSigned
Indicates the specific year in which an agreement, contract, or document was formally signed.
-
C.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
-
D.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
E.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24f4b4658819087902414959161fb |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.