Triple
T1089119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrigley Building |
E24119
|
entity |
| Predicate | hasClockFaceDiameter |
P7302
|
FINISHED |
| Object | approximately 19 feet |
—
|
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: approximately 19 feet | Statement: [Wrigley Building, hasClockFaceDiameter, approximately 19 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClockFaceDiameter Context triple: [Wrigley Building, hasClockFaceDiameter, approximately 19 feet]
-
A.
hasClockFaces
Indicates that an object is equipped with one or more clock faces.
-
B.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
C.
approximateDiameter
chosen
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
D.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
-
E.
coreStageDiameter
Indicates the diameter measurement of the central or primary stage of an object or system.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b97f216881909e9b8943ce2078e4 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b741b0cc8190be001a16a81f6d9e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.