Triple
T2533580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cusco Region |
E56219
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pisac
Pisac is a Peruvian town in the Sacred Valley renowned for its impressive Inca archaeological site and vibrant traditional market.
|
E274546
|
NE FINISHED |
How this triple was built (4 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: [Cusco Region, contains, Pisac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisac Context triple: [Cusco Region, contains, Pisac]
-
A.
Zipaquirá
Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
-
B.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
C.
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.
-
D.
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.
-
E.
Pucará
The Pucará is an Argentine twin-turboprop ground-attack and counter-insurgency aircraft designed for close air support and anti-guerrilla operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pisac Triple: [Cusco Region, contains, Pisac]
Generated description
Pisac is a Peruvian town in the Sacred Valley renowned for its impressive Inca archaeological site and vibrant traditional market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pisac Target entity description: Pisac is a Peruvian town in the Sacred Valley renowned for its impressive Inca archaeological site and vibrant traditional market.
-
A.
Zipaquirá
Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
-
B.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
C.
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.
-
D.
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.
-
E.
Pucará
The Pucará is an Argentine twin-turboprop ground-attack and counter-insurgency aircraft designed for close air support and anti-guerrilla operations.
- F. None of above. chosen
Provenance (5 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bbc416c81908774782420b54664 |
completed | March 9, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69af4c5e49dc8190920612a8b0f5b3f7 |
completed | March 9, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4cd3bcc8819091589f0aa27ddc5d |
completed | March 9, 2026, 10:42 p.m. |
Created at: March 6, 2026, 9:47 p.m.