Triple
T4214791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayabusa |
E94188
|
entity |
| Predicate | firstSampleReturnFrom |
P54792
|
FINISHED |
| Object | asteroid |
—
|
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: asteroid | Statement: [Hayabusa, firstSampleReturnFrom, asteroid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSampleReturnFrom Context triple: [Hayabusa, firstSampleReturnFrom, asteroid]
-
A.
firstTest
Indicates that an entity is the initial or earliest test in a sequence or set of tests.
-
B.
firstSoundingMethod
Indicates the method or technique that was used first to perform a sounding (e.g., measuring depth or probing a medium).
-
C.
firstRelease
Indicates that one entity is the initial or earliest release (in time or sequence) of another entity, such as a product, work, or version.
-
D.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
E.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:04 p.m.