Triple
T17931570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing VC-137C SAM 26000 |
E448345
|
entity |
| Predicate | retiredFromPresidentialService |
P129765
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Boeing VC-137C SAM 26000, retiredFromPresidentialService, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromPresidentialService Context triple: [Boeing VC-137C SAM 26000, retiredFromPresidentialService, 1990s]
-
A.
endOfPresidencyEvent
Indicates the event or point in time at which a presidency formally concludes.
-
B.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
-
C.
presidentAtEndOfTerm
Indicates that the subject held the office of president at the conclusion of a specified term or period.
-
D.
endTimeAsHeadOfPresidentialAdministration
Indicates the date and time when an individual’s tenure as head of the presidential administration comes to an end.
-
E.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a552bb848190871251474cc208d5 |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:20 a.m.