Triple
T21175253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima Metro Line 1 |
E521794
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | San Borja |
—
|
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: San Borja | Statement: [Lima Metro Line 1, servesDistrict, San Borja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Borja Context triple: [Lima Metro Line 1, servesDistrict, San Borja]
-
A.
San Borja
chosen
San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
-
B.
San Borja
San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
-
C.
San Miguel de Lillo
San Miguel de Lillo is a 9th-century pre-Romanesque church near Oviedo in Asturias, Spain, renowned for its distinctive Asturian architecture and UNESCO World Heritage status.
-
D.
San Guillermo
San Guillermo is a coastal barangay in the municipality of San Felipe in the province of Zambales, Philippines.
-
E.
San José Villanueva
San José Villanueva is a municipality in western El Salvador known for its rural landscapes and proximity to the capital, San Salvador.
- 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.