Triple
T11548136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Century of Progress International Exposition |
E273822
|
entity |
| Predicate | cityAnniversaryYear |
P100078
|
FINISHED |
| Object | 1833 |
—
|
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: 1833 | Statement: [Century of Progress International Exposition, cityAnniversaryYear, 1833]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityAnniversaryYear Context triple: [Century of Progress International Exposition, cityAnniversaryYear, 1833]
-
A.
anniversaryOf
Indicates that one event or date marks the commemoration or yearly recurrence of another specific event.
-
B.
venueSinceYear
Indicates that a venue has been operating or established since a specified year.
-
C.
anniversaryNumber
Indicates the specific ordinal count of an anniversary occurrence in a recurring commemorative event or relationship.
-
D.
cityAwardedDate
Indicates the date on which a city was formally granted an award, honor, or official designation.
-
E.
yearCirca
Indicates that the associated year is approximate or uncertain rather than exact.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e615b08190a072924329a94a6a |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822f00a088190ac6b48e45e743899 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.