Triple
T35626287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noyes Library for Young Children |
E1029463
|
entity |
| Predicate | buildingSize |
P87178
|
FINISHED |
| Object | small |
—
|
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: small | Statement: [Noyes Library for Young Children, buildingSize, small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingSize Context triple: [Noyes Library for Young Children, buildingSize, small]
-
A.
buildingScale
chosen
Indicates the relative size or dimensional scale at which a building or architectural structure is designed, represented, or evaluated.
-
B.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
C.
buildingShape
Indicates the geometric form or outline that characterizes a building’s overall structure.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f151c308190856dabf20ddafb02 |
completed | May 3, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.