Triple
T1343408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Spain |
E28515
|
entity |
| Predicate | calls |
P2350
|
FINISHED |
| Object | general elections in Spain |
—
|
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: general elections in Spain | Statement: [King of Spain, calls, general elections in Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calls Context triple: [King of Spain, calls, general elections in Spain]
-
A.
callsFor
chosen
Indicates that one entity requires, demands, or requests the occurrence of another action, condition, or entity.
-
B.
nowCalled
Indicates that an entity previously known by one name is currently referred to by a different name.
-
C.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
-
D.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
E.
contactWith
Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
- F. None of above.
Provenance (3 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23b8a9081908b78405d4ef806af |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.