Triple
T86423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Oklahoma (BB-37) |
E1737
|
entity |
| Predicate | beam |
P4336
|
FINISHED |
| Object | 95 feet 2 inches (about 29 meters) |
—
|
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: 95 feet 2 inches (about 29 meters) | Statement: [USS Oklahoma (BB-37), beam, 95 feet 2 inches (about 29 meters)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beam Context triple: [USS Oklahoma (BB-37), beam, 95 feet 2 inches (about 29 meters)]
-
A.
builder
Indicates that an entity is responsible for constructing, creating, or assembling another entity.
-
B.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
C.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
D.
backing
Indicates providing support, endorsement, or financial/resources assistance to someone or something, often enabling or strengthening their actions or position.
-
E.
lays
Indicates that one entity deposits or places something, typically eggs or objects, onto a surface or in a location.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24eb59e808190811c20518f39b1cc |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a250e2a80881909e5a653260e6f8e0 |
completed | Feb. 28, 2026, 2:20 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.