Triple
T28016143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V-320 |
E707548
|
entity |
| Predicate | pressureVesselMaterial |
P165114
|
FINISHED |
| Object | low-alloy steel with stainless cladding |
—
|
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: low-alloy steel with stainless cladding | Statement: [V-320, pressureVesselMaterial, low-alloy steel with stainless cladding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pressureVesselMaterial Context triple: [V-320, pressureVesselMaterial, low-alloy steel with stainless cladding]
-
A.
vacuumVesselMaterial
Indicates that one entity is the material from which the vacuum vessel of another entity is made.
-
B.
pressureHullMaterial
Indicates that one entity is the material from which the pressure hull of another entity is constructed.
-
C.
vesselSuperstructureMaterial
Indicates that it specifies the material from which a vessel’s superstructure is made.
-
D.
steamGeneratorTubesMaterial
Indicates the material from which the steam generator tubes are made.
-
E.
crankcaseMaterial
Indicates the material from which a crankcase is made.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 8:07 p.m.