Triple
T1262646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exposition Internationale des Arts Décoratifs et Industriels Modernes |
E12532
|
entity |
| Predicate | followedByYear |
P22827
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [Exposition Internationale des Arts Décoratifs et Industriels Modernes, followedByYear, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByYear Context triple: [Exposition Internationale des Arts Décoratifs et Industriels Modernes, followedByYear, 1937]
-
A.
followedByReleaseYear
chosen
Indicates that one item is immediately succeeded by another item in terms of release year.
-
B.
laterSeriesYear
Indicates that one entity is a series whose release or production year is later than that of another related series.
-
C.
followedByRoleInCareerOf
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
D.
continuedBy
Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
-
E.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc77f4c8190b97a0ceaa31cfd49 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.