Triple
T48757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Arizona (BB-39) |
E957
|
entity |
| Predicate | oilLeakNickname |
P744
|
FINISHED |
| Object | Black tears of the Arizona |
—
|
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: Black tears of the Arizona | Statement: [USS Arizona (BB-39), oilLeakNickname, Black tears of the Arizona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oilLeakNickname Context triple: [USS Arizona (BB-39), oilLeakNickname, Black tears of the Arizona]
-
A.
seal
Indicates that an agent closes or fastens something so that it is securely shut and often airtight or watertight.
-
B.
fueledBy
Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
-
C.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
D.
typicalEngine
Indicates that an entity is the standard or commonly used engine for another entity (such as a vehicle, device, or system).
-
E.
nameOf
chosen
Indicates that one entity is the name or designation of 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_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. |
Created at: Feb. 28, 2026, 1:47 a.m.