Triple
T4451984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nacional (sección de El Espectador) |
E97629
|
entity |
| Predicate | topicScope |
P18525
|
FINISHED |
| Object | domestic news |
—
|
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: domestic news | Statement: [Nacional (sección de El Espectador), topicScope, domestic news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicScope Context triple: [Nacional (sección de El Espectador), topicScope, domestic news]
-
A.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
B.
subjectMatterScope
chosen
Indicates the thematic or topical domain that an action, statement, or resource pertains to or falls within.
-
C.
collectionScope
Indicates the extent, boundaries, or range over which a collection (such as a set of items, data, or resources) is defined or intended to apply.
-
D.
participantScope
Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
-
E.
scopeDetail
Indicates a more specific or refined characterization of the extent, boundaries, or coverage of something within a broader scope.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.