Triple
T24176512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endurance |
E599296
|
entity |
| Predicate | hullFeature |
P155591
|
FINISHED |
| Object | heavily strengthened hull |
—
|
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: heavily strengthened hull | Statement: [Endurance, hullFeature, heavily strengthened hull]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hullFeature Context triple: [Endurance, hullFeature, heavily strengthened hull]
-
A.
hullOrigin
Indicates the original source, location, or context from which a hull (such as a vessel’s or structure’s main body) is derived or constructed.
-
B.
hullLayout
Indicates how the structural arrangement or configuration of a vessel’s hull is organized or laid out in relation to its components.
-
C.
hullConstruction
Indicates the process or activity of building, assembling, or forming the main body (hull) of a vessel or similar structure.
-
D.
hullColor
Indicates the color attribute assigned to the outer surface (hull) of an object, typically a vehicle or vessel.
-
E.
hullWeight_kg
Indicates the weight of an object's hull measured in kilograms.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:34 p.m.