Triple
T992615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceres |
E21423
|
entity |
| Predicate | firstSpacecraftArrivalDate |
P22852
|
FINISHED |
| Object | 2015-03-06 |
—
|
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: 2015-03-06 | Statement: [Ceres, firstSpacecraftArrivalDate, 2015-03-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSpacecraftArrivalDate Context triple: [Ceres, firstSpacecraftArrivalDate, 2015-03-06]
-
A.
isFirstSpacecraftTo
Indicates that a spacecraft is the earliest or initial one to reach, visit, or achieve a specified destination or milestone.
-
B.
firstLunarLandingDate
Indicates the calendar date on which an entity’s first lunar landing occurred.
-
C.
firstFlybyYear
Indicates the calendar year in which an object or mission first performed a flyby of a specified target.
-
D.
firstOrbiterArrivalYear
Indicates the calendar year in which the first spacecraft entered orbit around a specified celestial body.
-
E.
firstCrewedMission
Indicates that the mission is the first instance in which humans were onboard or directly participated as crew.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.