Triple
T15880844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy spacecraft |
E385069
|
entity |
| Predicate | firstTrojanEncounter |
P120878
|
FINISHED |
| Object | 2027 (planned) |
—
|
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: 2027 (planned) | Statement: [Lucy spacecraft, firstTrojanEncounter, 2027 (planned)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTrojanEncounter Context triple: [Lucy spacecraft, firstTrojanEncounter, 2027 (planned)]
-
A.
firstSolarEncounter
Indicates the initial interaction or contact an entity has with a solar system, star, or solar environment for the first time.
-
B.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
C.
firstCaesarInWest
Indicates that the subject is recognized as the earliest or original holder of the title "Caesar" in the Western context.
-
D.
firstCaesarInEast
Indicates that the subject is the earliest or original holder of the title "Caesar" within an eastern region or eastern branch of rule.
-
E.
firstObjectDiscovered
Indicates that the referenced object is the earliest one identified or detected in a given context or sequence.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.