Triple
T36807560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Building (Century of Progress) |
E909496
|
entity |
| Predicate | usedInExpositionYear |
P33014
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Federal Building (Century of Progress), usedInExpositionYear, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInExpositionYear Context triple: [Federal Building (Century of Progress), usedInExpositionYear, 1933]
-
A.
appearsInYearContext
Indicates that something is associated with, occurs in, or is relevant to a specific year within a temporal context.
-
B.
yearExhibited
chosen
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
-
C.
statedInYear
Indicates that something was declared, expressed, or formally stated during a specific calendar year.
-
D.
usedByYears
Indicates the span of years during which something (such as a method, standard, or item) was in use by a particular entity.
-
E.
majorExpositionYear
Indicates the year in which a major exposition, exhibition, or similar large-scale public event took place or was held.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:13 p.m.