Triple
T410082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Million Dollar Staircase |
E9468
|
entity |
| Predicate | constructionCostNicknameOrigin |
P3325
|
FINISHED |
| Object | named for its reputed high construction cost |
—
|
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: named for its reputed high construction cost | Statement: [Million Dollar Staircase, constructionCostNicknameOrigin, named for its reputed high construction cost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCostNicknameOrigin Context triple: [Million Dollar Staircase, constructionCostNicknameOrigin, named for its reputed high construction cost]
-
A.
constructionCost
Indicates the monetary or resource expenditure required to build or construct something.
-
B.
nameGivesRiseTo
Indicates that one name, term, or designation leads to, causes, or results in the emergence or establishment of another.
-
C.
acquisitionCost
Indicates the monetary amount or value required to obtain or purchase an entity.
-
D.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
E.
historicalOrigin
Indicates the relationship by which one entity serves as the source, origin, or starting point in history for another entity.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.