Triple
T2821729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andean Volcanic Belt |
E54823
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lanín |
E265470
|
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: Lanín | Statement: [Andean Volcanic Belt, contains, Lanín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanín Context triple: [Andean Volcanic Belt, contains, Lanín]
-
A.
Lanín
chosen
Lanín is a prominent stratovolcano in the southern Andes, straddling the border between Argentina and Chile and known for its conical shape and popular mountaineering routes.
-
B.
La Falda
La Falda is a small tourist city in the Sierras de Córdoba in central Argentina, known for its scenic mountain setting and historic hotels.
-
C.
El Chañar
El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
-
D.
Pozo Almonte
Pozo Almonte is a small town and commune in northern Chile known as an administrative and service center in the arid Tarapacá desert region.
-
E.
Vallorcine
Vallorcine is a small alpine village and ski resort in the French Alps, known for its scenic setting close to the Mont Blanc massif and its access to hiking and winter sports.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde704af88190a132626acc99745f |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8b344ec8190948b26a5101fb183 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 9:59 p.m.