Triple
T15568383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamusca |
E374174
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Constância |
E374172
|
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: Constância | Statement: [Chamusca, hasBorderWith, Constância]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constância Context triple: [Chamusca, hasBorderWith, Constância]
-
A.
Constância
chosen
Constância is a small historic town in central Portugal, known for its riverside setting at the confluence of the Zêzere and Tagus rivers and its association with the poet Luís de Camões.
-
B.
Constancia
Constancia is a feminine given name, used as a variant of Constance in various languages and cultures.
-
C.
Constanza
Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
-
D.
Loure
The Loure is a slow, stately French Baroque dance in compound duple meter, characterized by its dotted rhythms and often pastoral character.
-
E.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:10 a.m.