Triple
T3492836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space-Based Infrared System |
E73776
|
entity |
| Predicate | numberOfGEOSatellitesLaunched |
P37023
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Space-Based Infrared System, numberOfGEOSatellitesLaunched, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGEOSatellitesLaunched Context triple: [Space-Based Infrared System, numberOfGEOSatellitesLaunched, 6]
-
A.
numberOfSatellites
chosen
Indicates the quantity of satellites that are associated with or orbit a given entity.
-
B.
numberOfOrbitalPlanes
Indicates the specific count of distinct orbital planes associated with an object or system.
-
C.
minimumOperationalSatellites
Indicates the smallest number of satellites required for a system or mission to function at its intended operational capacity.
-
D.
launchesCommunicationSatellitesOfType
Indicates that an agent initiates the deployment of communication satellites of a specified type into space.
-
E.
deployedSatellite
Indicates that one entity has placed another entity into orbit or operational status as a satellite.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbabd1708190b1ca4cbc87462b5b |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.