Triple
T48760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Arizona (BB-39) |
E957
|
entity |
| Predicate | constructionCost |
P3154
|
FINISHED |
| Object | approximately $16 million (1910s 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 $16 million (1910s dollars) | Statement: [USS Arizona (BB-39), constructionCost, approximately $16 million (1910s dollars)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCost Context triple: [USS Arizona (BB-39), constructionCost, approximately $16 million (1910s dollars)]
-
A.
constructionMethod
Indicates the technique or process by which something is built, assembled, or created.
-
B.
estimatedCostComment
Indicates a textual note or explanation associated with an estimated cost, such as rationale, assumptions, or additional details about that estimate.
-
C.
constructionCompleted
Indicates that a construction process or project has been fully finished and reached its completed state.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
- F. None of above. chosen
Provenance (4 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c1a5c14819088748317a3f262c8 |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24abfa7bc8190932c137a823efcb6 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c198e74819088a211001d0b54d4 |
completed | Feb. 28, 2026, 1:59 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.