Triple
T35083293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northfield Center Historic District |
E1012507
|
entity |
| Predicate | typicalBuildingHeights |
P43259
|
FINISHED |
| Object | 2 to 3 stories |
—
|
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: 2 to 3 stories | Statement: [Northfield Center Historic District, typicalBuildingHeights, 2 to 3 stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBuildingHeights Context triple: [Northfield Center Historic District, typicalBuildingHeights, 2 to 3 stories]
-
A.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
B.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
C.
buildingHeightCharacteristic
chosen
Indicates the specific height-related property or measurement that characterizes a building.
-
D.
approximateHeightOfTallestStructure
Indicates the estimated height value associated with the tallest structure in a given context or set.
-
E.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.