Triple
T10690311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aragón River |
E251992
|
entity |
| Predicate | hasTownOnBank |
P847
|
FINISHED |
| Object | Jaca |
E44856
|
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: Jaca | Statement: [Aragón River, hasTownOnBank, Jaca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaca Context triple: [Aragón River, hasTownOnBank, Jaca]
-
A.
Jaca
chosen
Jaca is a town in northeastern Spain, in the Pyrenees of Aragon, known as a mountain resort and former candidate host city for the Winter Olympics.
-
B.
Malargüe
Malargüe is a city in Argentina’s Mendoza Province known as a gateway to the Andean highlands, volcanic landscapes, and regional astronomical and scientific observatories.
-
C.
El Chaltén
El Chaltén is a small Argentine mountain village in Patagonia renowned as a premier trekking and climbing base for exploring the Fitz Roy massif and surrounding Andean landscapes.
-
D.
Paso Futaleufú
Paso Futaleufú is a mountain pass and international border crossing in the Andes that connects southern Chile and Argentina near the town of Futaleufú.
-
E.
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.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1c0f0081908a6869ee756ec789 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbad00f7c8819097566994307c4550 |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.