Triple
T38505824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France–Brazil border |
E921759
|
entity |
| Predicate | governingCountry2 |
P197229
|
FINISHED |
| Object | Federative Republic of Brazil |
E19289
|
NE 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: Federative Republic of Brazil | Statement: [France–Brazil border, governingCountry2, Federative Republic of Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingCountry2 Context triple: [France–Brazil border, governingCountry2, Federative Republic of Brazil]
-
A.
governingBodyCountry
Indicates the country within whose jurisdiction or authority a governing body operates or to which it officially belongs.
-
B.
governingSystemCountry
Indicates that a particular system of governance is the ruling or official governing system used by a given country.
-
C.
governingCountryOfficialName
chosen
Indicates the official name of the country that exercises governing authority over a given entity.
-
D.
formerGoverningCountry
Indicates that one country previously held governing or colonial authority over another country or territory.
-
E.
countryOfGoverningCompetition
Indicates the country that has authority over or organizes the referenced competition.
- F. None of above.
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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea825b2c8190a794e5184fd29f7f |
completed | June 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.