Triple
T11330991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alausí Nariz del Diablo railway |
E268342
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Alausí |
E274474
|
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: Alausí | Statement: [Alausí Nariz del Diablo railway, locatedIn, Alausí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alausí Context triple: [Alausí Nariz del Diablo railway, locatedIn, Alausí]
-
A.
Alausí
chosen
Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
-
B.
Alcohuaz
Alcohuaz is a small rural village in Chile’s Elqui Valley, known for its high-altitude vineyards, pisco production, and clear skies for stargazing.
-
C.
Lumbres
Lumbres is a small commune in the Pas-de-Calais department in northern France, situated within the administrative arrondissement of Saint-Omer.
-
D.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
E.
Casma
Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58b4ec4ac81908d51e3815a054704 |
completed | April 20, 2026, 2:11 a.m. |
Created at: April 8, 2026, 9:32 p.m.