Triple
T21983797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Cruz microregion |
E542904
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Montanhas |
—
|
NE NERFINISHED |
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: Montanhas | Statement: [Nova Cruz microregion, hasSettlement, Montanhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montanhas Context triple: [Nova Cruz microregion, hasSettlement, Montanhas]
-
A.
Montanhas
chosen
Montanhas is a municipality in the state of Rio Grande do Norte in northeastern Brazil.
-
B.
River Mountains
River Mountains is a rugged mountain range in southern Nevada known for its desert landscapes and proximity to the Las Vegas metropolitan area and Lake Mead.
-
C.
Montagne
Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
-
D.
Excelsior Mountains
The Excelsior Mountains are a rugged, sparsely populated mountain range in west-central Nevada known for their high desert scenery and mineral-rich geology.
-
E.
Monts
Monts is a commune in central France’s Indre-et-Loire department, known for its historic Château de Candé and its location near Tours.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708055c8190b626ce244e368296 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.