Triple
T128800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima |
E2605
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Barranco
Barranco is a bohemian coastal district of Lima, Peru, known for its vibrant arts scene, nightlife, and colorful colonial-era architecture.
|
E15513
|
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: Barranco | Statement: [Lima, hasDistrict, Barranco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barranco Context triple: [Lima, hasDistrict, Barranco]
-
A.
Choapa Valley
Choapa Valley is a prominent wine-producing valley in Chile known for its dry climate, coastal influence, and high-quality Syrah and Cabernet Sauvignon.
-
B.
Pinales
Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
-
C.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
D.
Limarí Valley
Limarí Valley is a semi-arid wine-producing valley in northern Chile known for its cool coastal influence, limestone-rich soils, and high-quality Chardonnay and Pinot Noir.
-
E.
Fern Canyon
Fern Canyon is a lush, narrow gorge in Northern California famed for its sheer walls draped in ferns and its appearance in films like Jurassic Park 2.
- 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: Barranco Triple: [Lima, hasDistrict, Barranco]
Generated description
Barranco is a bohemian coastal district of Lima, Peru, known for its vibrant arts scene, nightlife, and colorful colonial-era architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barranco Target entity description: Barranco is a bohemian coastal district of Lima, Peru, known for its vibrant arts scene, nightlife, and colorful colonial-era architecture.
-
A.
Choapa Valley
Choapa Valley is a prominent wine-producing valley in Chile known for its dry climate, coastal influence, and high-quality Syrah and Cabernet Sauvignon.
-
B.
Pinales
Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
-
C.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
D.
Limarí Valley
Limarí Valley is a semi-arid wine-producing valley in northern Chile known for its cool coastal influence, limestone-rich soils, and high-quality Chardonnay and Pinot Noir.
-
E.
Fern Canyon
Fern Canyon is a lush, narrow gorge in Northern California famed for its sheer walls draped in ferns and its appearance in films like Jurassic Park 2.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2576518e0819096b35d8af7a4d1bd |
completed | Feb. 28, 2026, 2:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2aa453a8c81908d6d4d14aff8522e |
completed | Feb. 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69a2adde37f08190a0dc6da3ddfec1c0 |
completed | Feb. 28, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2aea7cbe081908151d50aac662e60 |
completed | Feb. 28, 2026, 9 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.