Triple
T37442813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCSS |
E930464
|
entity |
| Predicate | typicalMissionRole |
P45245
|
FINISHED |
| Object | payload orbit circularization |
—
|
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: payload orbit circularization | Statement: [DCSS, typicalMissionRole, payload orbit circularization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMissionRole Context triple: [DCSS, typicalMissionRole, payload orbit circularization]
-
A.
roleInMissions
chosen
Indicates the specific function, duty, or position an entity holds within one or more missions.
-
B.
squadronRole
Indicates the specific function or duty an entity has within a squadron or organized group of units.
-
C.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
D.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
-
E.
typeOfMissionSupport
Indicates the kind or category of support provided in relation to a specific mission.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.