Triple
T1260018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantanal |
E12476
|
entity |
| Predicate | countryPortionIn |
P26347
|
FINISHED |
| Object | Brazil contains about 80 percent of the Pantanal |
—
|
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: Brazil contains about 80 percent of the Pantanal | Statement: [Pantanal, countryPortionIn, Brazil contains about 80 percent of the Pantanal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPortionIn Context triple: [Pantanal, countryPortionIn, Brazil contains about 80 percent of the Pantanal]
-
A.
countryOrRegion
Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
-
B.
countryOrTerritory
Indicates that one entity is a country or territory associated with, or characterized by, another entity.
-
C.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
-
D.
countryDeJure
Indicates that one entity is the legally recognized (de jure) country having sovereignty or authority over another entity.
-
E.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc503e88190b237210a61228dd8 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd98b62c8190a5f6710345c0537d |
completed | March 1, 2026, 10:28 p.m. |
Created at: March 1, 2026, 7:50 p.m.