Triple
T21175212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angamos station |
E521793
|
entity |
| Predicate | servedArea |
P82
|
FINISHED |
| Object | Surco district |
—
|
NE NERFINISHED |
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: Surco district | Statement: [Angamos station, servedArea, Surco district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surco district Context triple: [Angamos station, servedArea, Surco district]
-
A.
Surco District
chosen
Surco District is a residential and commercial district in Lima, Peru, known for its shopping centers, universities, and relatively affluent neighborhoods.
-
B.
Barranco District
Barranco District is a bohemian coastal neighborhood in Lima, Peru, known for its vibrant arts scene, nightlife, and historic architecture.
-
C.
Rímac District
Rímac District is a historic urban district of Lima, Peru, known for its colonial architecture, cultural landmarks, and location across the Rímac River from central Lima.
-
D.
Surquillo District
Surquillo District is an urban district of Lima, Peru, known for its dense residential areas, commercial activity, and central location within the Lima metropolitan area.
-
E.
Miraflores district
Miraflores district is an upscale coastal neighborhood in Lima, Peru, known for its parks, shopping, nightlife, and pre-Columbian archaeological sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271597288190b04baff9ca8d866c |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.