Triple
T14606885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrontés |
E342852
|
entity |
| Predicate | grownInRegion |
P2078
|
FINISHED |
| Object | Salta |
E59453
|
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: Salta | Statement: [Torrontés, grownInRegion, Salta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salta Context triple: [Torrontés, grownInRegion, Salta]
-
A.
Salta (city)
Salta is a historic city in northwestern Argentina known for its well-preserved colonial architecture, vibrant cultural traditions, and role as a regional commercial and tourism hub in the Lerma Valley.
-
B.
Salta Province
chosen
Salta Province is a large, landlocked region in northwestern Argentina known for its colonial architecture, Andean landscapes, and significant agricultural and wine production.
-
C.
Belén
Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
-
D.
Florencia
Florencia is a city in southern Colombia that serves as a key gateway between the Andean region and the Amazon rainforest.
-
E.
Florencia
Florencia is a street in Mexico City that intersects at the Glorieta del Ángel, a major roundabout surrounding the iconic Angel of Independence monument.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44d327c8190a8d20568429d0f80 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c9a6748190878efa4970ce2b04 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:25 a.m.