Triple
T11502391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noguchi Museum |
E272693
|
entity |
| Predicate | originalUseOfBuilding |
P75472
|
FINISHED |
| Object | industrial building |
—
|
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: industrial building | Statement: [Noguchi Museum, originalUseOfBuilding, industrial building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalUseOfBuilding Context triple: [Noguchi Museum, originalUseOfBuilding, industrial building]
-
A.
previousBuildingUse
Indicates that a building previously served a specified use or function before its current one.
-
B.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
C.
originalPrimaryUse
chosen
Indicates that something was first or chiefly intended to be used for a particular purpose or function.
-
D.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
E.
formerPrimaryUse
Indicates that something was previously used as the main or principal function or purpose of an entity, but is no longer its current primary use.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.