Triple
T9808422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imaging IR Spectrometer |
E238208
|
entity |
| Predicate | platformOrbit |
P90114
|
FINISHED |
| Object | lunar orbit |
—
|
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: lunar orbit | Statement: [Imaging IR Spectrometer, platformOrbit, lunar orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformOrbit Context triple: [Imaging IR Spectrometer, platformOrbit, lunar orbit]
-
A.
platforms
Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
-
B.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
C.
platformUsedFor
Indicates that one entity serves as the platform, medium, or environment utilized to perform, host, or support the activities of another entity.
-
D.
originPlatform
Indicates the platform, system, or environment from which an entity, event, or piece of data originally comes.
-
E.
platformTypeWorkedOn
Indicates the type of platform on which an entity (typically a person or system) has performed work or carried out activities.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb21ef32c8190ab4b09d157798451 |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.