Triple
T25499613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bissau Autonomous Sector |
E639071
|
entity |
| Predicate | containsNationalInstitutions |
P64535
|
FINISHED |
| Object | presidential offices |
—
|
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: presidential offices | Statement: [Bissau Autonomous Sector, containsNationalInstitutions, presidential offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsNationalInstitutions Context triple: [Bissau Autonomous Sector, containsNationalInstitutions, presidential offices]
-
A.
declaresAsInstitutionsOfNationalImportance
Indicates that an authority formally designates certain entities as institutions of national importance.
-
B.
hasInstitutions
chosen
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
C.
hasGovernmentInstitution
Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
-
D.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
E.
notableInstitution
Indicates that an institution holds particular significance, prominence, or recognition in relation to the subject.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 21, 2026, 2:41 p.m.