Triple
T7771511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn V S-II second stage |
E179083
|
entity |
| Predicate | oxidizerTank |
P78243
|
FINISHED |
| Object | liquid oxygen tank |
—
|
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: liquid oxygen tank | Statement: [Saturn V S-II second stage, oxidizerTank, liquid oxygen tank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oxidizerTank Context triple: [Saturn V S-II second stage, oxidizerTank, liquid oxygen tank]
-
A.
oxidizerTankMaterial
Indicates the material from which an oxidizer tank is constructed or composed.
-
B.
oxidizer
Indicates a relationship where one entity acts as an oxidizing agent that accepts electrons from, or promotes the oxidation of, another entity in a chemical process.
-
C.
oxidizerState
Indicates the physical or chemical state (e.g., solid, liquid, gas, concentration, or phase condition) in which an oxidizing agent exists during a reaction or process.
-
D.
oxidizerToFuelMixtureRatio
Indicates the proportional amount of oxidizer relative to fuel present in a mixture or system.
-
E.
laterOxidizer
Indicates that one oxidizer occurs or is applied after another in time within a given process or sequence.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7045ebae88190a04c8f972795e615 |
completed | March 27, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702a78edc819090c3448d33c8c381 |
completed | March 27, 2026, 10:20 p.m. |
Created at: March 27, 2026, 4:11 p.m.