Triple
T25750256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 433 Eros |
E648452
|
entity |
| Predicate | firstLandedOnBy |
P100039
|
FINISHED |
| Object | NEAR Shoemaker |
—
|
NE NERFINISHED |
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: NEAR Shoemaker | Statement: [433 Eros, firstLandedOnBy, NEAR Shoemaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLandedOnBy Context triple: [433 Eros, firstLandedOnBy, NEAR Shoemaker]
-
A.
firstLandingBy
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.
-
B.
firstToLand
chosen
Indicates that the subject is the earliest or initial entity to arrive at or touch down on a particular place or surface.
-
C.
landedOnBy
Indicates that one entity has come down to rest upon or make contact with the surface of another entity.
-
D.
firstLandingAttemptOn
Indicates that an entity makes its initial attempt to land on another entity or location.
-
E.
firstFlightLandingSite
Indicates the location where an aircraft or spacecraft completes its initial flight by landing.
- 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_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 22, 2026, 4:33 a.m.