Triple
T5688332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffalo City Hall |
E125365
|
entity |
| Predicate | costOfConstruction |
P3154
|
FINISHED |
| Object | approximately $6,000,000 (1930s dollars) |
—
|
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 $6,000,000 (1930s dollars) | Statement: [Buffalo City Hall, costOfConstruction, approximately $6,000,000 (1930s dollars)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costOfConstruction Context triple: [Buffalo City Hall, costOfConstruction, approximately $6,000,000 (1930s dollars)]
-
A.
constructionCost
chosen
Indicates the monetary or resource expenditure required to build or construct something.
-
B.
estimatedCost
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
C.
constructionCostCurrency
Indicates the currency in which the construction cost of something is expressed.
-
D.
acquisitionCost
Indicates the monetary amount or value required to obtain or purchase an entity.
-
E.
constructionType
Indicates the specific method or style by which something is built or constructed.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.