Triple
T16921171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LE-7A |
E410446
|
entity |
| Predicate | oxidizerRich |
P124738
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [LE-7A, oxidizerRich, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oxidizerRich Context triple: [LE-7A, oxidizerRich, true]
-
A.
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.
-
B.
oxidizerTank
Indicates that one entity functions as an oxidizer tank associated with, containing, or supplying oxidizer for another entity or system.
-
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.
typicalOxidant
Indicates that one entity commonly functions as an oxidizing agent in reactions involving the other entity.
-
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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdee252c81908621b2ca897416e9 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.