Triple
T28016144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V-320 |
E707548
|
entity |
| Predicate | steamGeneratorTubesMaterial |
P164010
|
FINISHED |
| Object | corrosion-resistant alloy |
—
|
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: corrosion-resistant alloy | Statement: [V-320, steamGeneratorTubesMaterial, corrosion-resistant alloy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steamGeneratorTubesMaterial Context triple: [V-320, steamGeneratorTubesMaterial, corrosion-resistant alloy]
-
A.
steamGenerationMethod
Indicates the method or process by which steam is produced or generated.
-
B.
boilerType
Indicates the specific kind or category of boiler associated with an entity, such as its design, fuel source, or operating characteristics.
-
C.
fuelTankMaterial
Indicates the material from which a fuel tank is made.
-
D.
vacuumVesselMaterial
Indicates that one entity is the material from which the vacuum vessel of another entity is made.
-
E.
barrelMaterial
Indicates the material from which a barrel is made or constructed.
- 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_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 8:07 p.m.