Triple
T1074993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribune Tower |
E23815
|
entity |
| Predicate | architecturalCompetition |
P23621
|
FINISHED |
| Object | Chicago Tribune Tower competition |
—
|
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: Chicago Tribune Tower competition | Statement: [Tribune Tower, architecturalCompetition, Chicago Tribune Tower competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalCompetition Context triple: [Tribune Tower, architecturalCompetition, Chicago Tribune Tower competition]
-
A.
designCompetitionWonBy
Indicates that a particular design competition was won by a specified participant or entity.
-
B.
architecturalProject
Indicates that one entity is an architectural project associated with, created by, or undertaken for another entity.
-
C.
architecturalWork
Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
-
D.
designCompetitionYear
Indicates the year in which a particular design competition took place or is associated with.
-
E.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another entity.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92e480c81909a848b48c196a293 |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73ba8208190be7f3cef8c18689b |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b80f0fb08190a19a50e38ae8f16c |
completed | March 1, 2026, 10:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.