Triple
T1402253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Times Building |
E31610
|
entity |
| Predicate | heightToRoof |
P1729
|
FINISHED |
| Object | approximately 228 meters |
—
|
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 228 meters | Statement: [New York Times Building, heightToRoof, approximately 228 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightToRoof Context triple: [New York Times Building, heightToRoof, approximately 228 meters]
-
A.
roofHeight
chosen
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
B.
architecturalHeight
Indicates the measured vertical extent of a structure based on its architectural design, typically from the lowest significant level to the highest architecturally integral point, excluding non-architectural elements like antennas or masts.
-
C.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
D.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
E.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39ef554819096c17bca5891829b |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.