Triple
T15672318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande-Colar da Ordem da Liberdade |
E377344
|
entity |
| Predicate | categoriaDeDestinatários |
P19115
|
FINISHED |
| Object | chefes de Estado |
—
|
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: chefes de Estado | Statement: [Grande-Colar da Ordem da Liberdade, categoriaDeDestinatários, chefes de Estado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoriaDeDestinatários Context triple: [Grande-Colar da Ordem da Liberdade, categoriaDeDestinatários, chefes de Estado]
-
A.
targetStudentGroup
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
B.
typicalAudience
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
C.
intendedForAgeGroup
Indicates that something is designed, suitable, or targeted for use by a specific age group.
-
D.
categoryOfPeopleServed
chosen
Indicates the type or group of people that are the primary recipients or beneficiaries of a service or activity.
-
E.
isCategoryOfPeople
Indicates that a group or classification specifically pertains to people as its members.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f13b1b08190beabc9f4098aa096 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.