Triple
T25750261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 433 Eros |
E648452
|
entity |
| Predicate | firstAsteroidLandedOnBySpacecraft |
P77677
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [433 Eros, firstAsteroidLandedOnBySpacecraft, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAsteroidLandedOnBySpacecraft Context triple: [433 Eros, firstAsteroidLandedOnBySpacecraft, true]
-
A.
firstAsteroidOrbitedBySpacecraft
Indicates that the subject asteroid is the first one ever to be successfully orbited by a spacecraft.
-
B.
firstSuccessfulLander
Indicates that the subject entity is the earliest one to have successfully landed on the specified target or within the given context.
-
C.
firstLandingBy
chosen
Indicates that one entity is the earliest or initial instance to arrive, land, or touch down at a particular place or target relative to others.
-
D.
firstLandingSite
Indicates the location where an entity initially arrives, lands, or touches down before any subsequent movements or landings.
-
E.
firstAsteroidWithSampleReturn
Indicates that the subject is the first asteroid from which a sample was successfully collected and returned to a receiving body (such as Earth).
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: April 22, 2026, 4:33 a.m.