Triple
T31059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inaugural Address "Ask not what your country can do for you" |
E619
|
entity |
| Predicate | callsFor |
P2350
|
FINISHED |
| Object | service to the nation |
—
|
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: service to the nation | Statement: [Inaugural Address "Ask not what your country can do for you", callsFor, service to the nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: callsFor Context triple: [Inaugural Address "Ask not what your country can do for you", callsFor, service to the nation]
-
A.
canBeCalledInto
Indicates that one entity has the authority or ability to summon, request the presence of, or formally convene another entity.
-
B.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
-
C.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
-
D.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
E.
attendedBy
Indicates that an event, place, or activity is participated in or visited by a particular person or group.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249eb52a08190916849b44bd9d68d |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.