Triple
T869020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury |
E18768
|
entity |
| Predicate | firstFlybyYear |
P20354
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [Mercury, firstFlybyYear, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlybyYear Context triple: [Mercury, firstFlybyYear, 1974]
-
A.
firstSuccessfulFlybyBy
Indicates that the subject is the first spacecraft or mission to successfully perform a flyby of the object specified by the predicate’s value.
-
B.
isFirstSpacecraftTo
Indicates that a spacecraft is the earliest or initial one to reach, visit, or achieve a specified destination or milestone.
-
C.
firstCrewedFlightDate
Indicates the calendar date on which an entity undertook its first flight carrying human crew.
-
D.
secondSoloCrewedDescentYear
Indicates the calendar year in which the second crewed solo descent associated with the subject took place.
-
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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7f98908190883f71049092c7c8 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.