Triple
T16559177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baixo Corgo |
E402290
|
entity |
| Predicate | contrastWith |
P278
|
FINISHED |
| Object | Cima Corgo |
E402291
|
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: Cima Corgo | Statement: [Baixo Corgo, contrastWith, Cima Corgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cima Corgo Context triple: [Baixo Corgo, contrastWith, Cima Corgo]
-
A.
Cima Corgo
chosen
Cima Corgo is a central subregion of Portugal’s Douro wine country, renowned for producing many of the finest Port and Douro DOC wines.
-
B.
Mount Coglians
Mount Coglians is a prominent mountain in the Carnic Alps on the border between Italy and Austria, known as the highest peak in the Italian region of Friuli Venezia Giulia.
-
C.
Monte Beragon
Monte Beragon is a charming but morally dubious playboy and love interest in the 1945 film noir "Mildred Pierce," whose relationship with the title character contributes to her downfall.
-
D.
Cima Presanella
Cima Presanella is a prominent peak in the Adamello-Presanella Alps of northern Italy, known for its glaciated slopes and popularity among mountaineers.
-
E.
Monte Altissimo
Monte Altissimo is a prominent mountain in Italy’s Apuan Alps, known for its extensive marble quarries and panoramic views over the surrounding Tuscan landscape.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576cceb881908579b56d91b15dec |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067be809c81909c93eb1253fbf8e5 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.