Triple
T30093634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Century of Progress Architectural District |
E764804
|
entity |
| Predicate | numberOfContributingBuildings |
P11484
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Century of Progress Architectural District, numberOfContributingBuildings, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfContributingBuildings Context triple: [Century of Progress Architectural District, numberOfContributingBuildings, 5]
-
A.
numberOfBuildings
chosen
Indicates the total count of buildings associated with a given entity or within a specified context.
-
B.
eraOfManyBuildings
Indicates a time period during which many buildings were constructed or existed.
-
C.
hasMultipleBuildings
Indicates that an entity possesses, controls, or is associated with more than one distinct building.
-
D.
floorCountOfSurroundingBuildings
Indicates the number of floors in the buildings that are located around or near a given reference building or area.
-
E.
numberOfNewTraditionalStyleBuildings
Indicates the count of newly constructed buildings that follow a traditional architectural style.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0042524d8c8190884a10fce669ae95 |
completed | May 10, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_6a0041e89bd881909e32764699bcb89b |
completed | May 10, 2026, 8:29 a.m. |
Created at: April 29, 2026, 7:06 p.m.