Triple
T2541885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urubamba River |
E57802
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Pisac |
E274546
|
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: Pisac | Statement: [Urubamba River, passesNear, Pisac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisac Context triple: [Urubamba River, passesNear, Pisac]
-
A.
Pisac
chosen
Pisac is a Peruvian town in the Sacred Valley renowned for its impressive Inca archaeological site and vibrant traditional market.
-
B.
Zipaquirá
Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
-
C.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
D.
San Pedro de Pichasca
San Pedro de Pichasca is a small rural settlement in northern Chile, known for its proximity to the Hurtado River and the surrounding Andean foothill landscapes.
-
E.
Colina
Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bd92f88190bf100c799f62210c |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d046430819095605b8a8fd987d5 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.