Triple
T4187960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasco Region |
E88358
|
entity |
| Predicate | hasNaturalRegion |
P285
|
FINISHED |
| Object |
Selva Alta
Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
|
E419616
|
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: Selva Alta | Statement: [Pasco Region, hasNaturalRegion, Selva Alta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selva Alta Context triple: [Pasco Region, hasNaturalRegion, Selva Alta]
-
A.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
B.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
C.
Fundão
Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
-
D.
Rio Hato
Rio Hato is a coastal area in Panama known for its airfield, which was a key target during the U.S. invasion of Panama in Operation Just Cause.
-
E.
Famatina Valley
Famatina Valley is a prominent wine-producing region in Argentina’s La Rioja Province, known for its high-altitude vineyards and distinctive Torrontés and Malbec wines.
- 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: Selva Alta Triple: [Pasco Region, hasNaturalRegion, Selva Alta]
Generated description
Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selva Alta Target entity description: Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
-
A.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
B.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
C.
Fundão
Fundão is a municipality in central Portugal known for its agricultural production, particularly cherries, and its growing role as a regional technology and innovation hub.
-
D.
Rio Hato
Rio Hato is a coastal area in Panama known for its airfield, which was a key target during the U.S. invasion of Panama in Operation Just Cause.
-
E.
Famatina Valley
Famatina Valley is a prominent wine-producing region in Argentina’s La Rioja Province, known for its high-altitude vineyards and distinctive Torrontés and Malbec wines.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0325a82c8190849d8a828e2c7b44 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a034f6481909a3126d8832f7821 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58abc256c8190ad37c8d213b8f11e |
completed | March 14, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b41916c81909eb2e5ab482a5fe1 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:45 p.m.