Triple
T11197990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1933–1934 Chicago World's Fair |
E264969
|
entity |
| Predicate | cityAnniversary |
P80485
|
FINISHED |
| Object | 100th anniversary of Chicago's incorporation |
—
|
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: 100th anniversary of Chicago's incorporation | Statement: [1933–1934 Chicago World's Fair, cityAnniversary, 100th anniversary of Chicago's incorporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityAnniversary Context triple: [1933–1934 Chicago World's Fair, cityAnniversary, 100th anniversary of Chicago's incorporation]
-
A.
anniversaryOf
chosen
Indicates that one event or date marks the commemoration or yearly recurrence of another specific event.
-
B.
capitalOfCelebration
Indicates that a location is recognized as the primary or central place where a particular celebration or festivity is most prominently held or symbolically based.
-
C.
annualEvent
Indicates that an event occurs once every year on a recurring basis.
-
D.
cityhoodDate
Indicates the date on which an entity was officially granted or recognized as a city.
-
E.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c082fc8190866c574f698b59ef |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:29 p.m.