Triple
T11828252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urubamba |
E281312
|
entity |
| Predicate | locatedNear |
P294
|
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, locatedNear, Pisac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisac Context triple: [Urubamba, locatedNear, 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.
Challapampa
Challapampa is a small lakeside village on Bolivia’s Isla del Sol, known as a gateway to Inca ruins and scenic views over Lake Titicaca.
-
C.
Chepica
Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
-
D.
Puchuncaví
Puchuncaví is a coastal commune and town in Chile’s Valparaíso Region, known for its beaches and its proximity to the industrial area around Quintero.
-
E.
Loncoche
Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2812007dc81908e56fd47b2a94836 |
completed | April 29, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:43 p.m.