Triple
T21329908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas V 531 |
E525869
|
entity |
| Predicate | fairingCodeDigitMeaning |
P138096
|
FINISHED |
| Object | first digit 5 indicates 5-meter fairing |
—
|
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: first digit 5 indicates 5-meter fairing | Statement: [Atlas V 531, fairingCodeDigitMeaning, first digit 5 indicates 5-meter fairing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairingCodeDigitMeaning Context triple: [Atlas V 531, fairingCodeDigitMeaning, first digit 5 indicates 5-meter fairing]
-
A.
digitMeaning
chosen
Indicates that a particular digit symbol is associated with a specific numerical value or conceptual meaning.
-
B.
configurationCodeMeaning
Indicates the semantic meaning or interpretation associated with a given configuration code.
-
C.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
D.
digitType
Indicates the specific category or kind of digit (such as numerical, symbolic, or positional type) associated with an entity.
-
E.
firstCharacteristicNumeralMeaning
Indicates that the relationship specifies the meaning associated with the first characteristic numeral of an entity or concept.
- F. None of above.
Provenance (3 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab5076f48190a9c89c7de4741779 |
completed | April 21, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:42 p.m.