Triple
T30877114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MUOS |
E786507
|
entity |
| Predicate | numberOfOperationalSatellites |
P37023
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [MUOS, numberOfOperationalSatellites, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOperationalSatellites Context triple: [MUOS, numberOfOperationalSatellites, 4]
-
A.
numberOfSatellites
chosen
Indicates the quantity of satellites that are associated with or orbit a given entity.
-
B.
numberOfGeostationarySatellites
Indicates the quantity of geostationary satellites associated with a given entity.
-
C.
minimumOperationalSatellites
Indicates the smallest number of satellites required for a system or mission to function at its intended operational capacity.
-
D.
numberOfGEOSatellitesPlanned
Indicates the planned quantity of GEO (geostationary) satellites associated with a given entity or mission.
-
E.
lastOperationalSatellite
Indicates that the referenced satellite is the most recently functioning or still-active satellite within a given set, sequence, or system.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00ae638fcc819096537b2c21366161 |
completed | May 10, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_6a00ae0551988190bcb3564ed9af2847 |
completed | May 10, 2026, 4:10 p.m. |
Created at: April 29, 2026, 8:48 p.m.