Triple
T920906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikipedia |
E19879
|
entity |
| Predicate | SpanishEditionURL |
P22395
|
FINISHED |
| Object | https://es.wikipedia.org/ |
—
|
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: https://es.wikipedia.org/ | Statement: [Wikipedia, SpanishEditionURL, https://es.wikipedia.org/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SpanishEditionURL Context triple: [Wikipedia, SpanishEditionURL, https://es.wikipedia.org/]
-
A.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
B.
officialNameInSpanish
Indicates the officially recognized name of an entity when expressed in the Spanish language.
-
C.
hasSignificantSpanishInfluence
Indicates that one entity has been strongly shaped or notably affected by Spanish culture, language, practices, or presence.
-
D.
endOfSpanishBranch
Indicates that something marks the termination or final point of a Spanish-related branch within a larger structure or sequence.
-
E.
commanderForSpain
Indicates that a person serves or has served as a military commander on behalf of Spain.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.