Triple
T3985229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quilpué |
E86853
|
entity |
| Predicate | railConnectionTo |
P13914
|
FINISHED |
| Object | Viña del Mar |
E74624
|
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: Viña del Mar | Statement: [Quilpué, railConnectionTo, Viña del Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viña del Mar Context triple: [Quilpué, railConnectionTo, Viña del Mar]
-
A.
Viña del Mar
chosen
Viña del Mar is a major Chilean resort city famed for its beaches, gardens, and annual international song festival.
-
B.
Valparaíso
Valparaíso is a major Pacific port city in central Chile, renowned for its steep hillsides, colorful houses, historic funiculars, and UNESCO-listed historic quarter.
-
C.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
-
D.
Santiago
Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
-
E.
Santiago
Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dfaf28819081b547836d79b889 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69badb16faf88190aa047ba701ff7c0d |
completed | March 18, 2026, 5:04 p.m. |
Created at: March 9, 2026, 3:33 p.m.