Triple
T9723229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla del Pescado |
E235533
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object | Colchani |
E127177
|
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: Colchani | Statement: [Isla del Pescado, accessibleFrom, Colchani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colchani Context triple: [Isla del Pescado, accessibleFrom, Colchani]
-
A.
Colchani
chosen
Colchani is a small Bolivian village on the edge of the Uyuni Salt Flat that serves as a primary gateway and salt-processing center for the region.
-
B.
Alagna
Alagna is an Italian surname most prominently associated with French operatic tenor Roberto Alagna.
-
C.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
D.
Zinal
Zinal is a picturesque alpine village and ski resort in the Swiss canton of Valais, nestled in the Val d’Anniviers and surrounded by several major 4,000-meter peaks.
-
E.
Cobreandino
Cobreandino is a Chilean football club known for being one of the early professional teams in the career of striker Iván Zamorano.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e75abd48190a6e6679ec51496e8 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fa5a8e48190b7b1742eb6c3b81e |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.