Triple
T4446218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marble House |
E96294
|
entity |
| Predicate | estimatedConstructionCostForMarble |
P4259
|
FINISHED |
| Object | about $7 million (1890s 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: about $7 million (1890s dollars) | Statement: [Marble House, estimatedConstructionCostForMarble, about $7 million (1890s dollars)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedConstructionCostForMarble Context triple: [Marble House, estimatedConstructionCostForMarble, about $7 million (1890s dollars)]
-
A.
constructionCost
Indicates the monetary or resource expenditure required to build or construct something.
-
B.
colorOfMarble
Indicates the specific color attribute associated with a given marble.
-
C.
estimatedCost
chosen
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
D.
constructionCostCurrency
Indicates the currency in which the construction cost of something is expressed.
-
E.
notTrueMarble
Indicates that the assertion or condition concerning the marble is not true.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69b34f62c180819097ced38da2052207 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:32 p.m.