Triple
T15880845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy spacecraft |
E385069
|
entity |
| Predicate | L5Encounter |
P120879
|
FINISHED |
| Object | 2033 (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: 2033 (planned) | Statement: [Lucy spacecraft, L5Encounter, 2033 (planned)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: L5Encounter Context triple: [Lucy spacecraft, L5Encounter, 2033 (planned)]
-
A.
settingEncounter
Indicates that an encounter or interaction is taking place within a particular setting or environment.
-
B.
encountersCharacter
Indicates that one character comes into contact with or meets another character, typically within a particular situation or context.
-
C.
notableEncounterWith
Indicates that an entity has had a significant or noteworthy meeting, interaction, or confrontation with another entity.
-
D.
hasNotableTribeAtEncounter
Indicates that, at the time of the encounter, the entity was associated with or identified as belonging to a notable tribe.
-
E.
typeOfCloseEncounter
Indicates a specific category or classification of a close encounter that occurred between entities.
- 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.