Triple
T4601033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Highlands |
E100317
|
entity |
| Predicate | roleInBrazil |
P57377
|
FINISHED |
| Object | major population concentration area |
—
|
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: major population concentration area | Statement: [Brazilian Highlands, roleInBrazil, major population concentration area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBrazil Context triple: [Brazilian Highlands, roleInBrazil, major population concentration area]
-
A.
roleInPortugal
Indicates that an entity holds or has held a specific role, position, or function within the context of Portugal.
-
B.
nameInPortuguese
Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
-
C.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd597346a08190b47eda3b73076f8b |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:11 p.m.