Triple
T9021809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Busway |
E215742
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | San Pedro |
E124932
|
NE FINISHED |
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 Pedro | Statement: [Metro Busway, serves, San Pedro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pedro Context triple: [Metro Busway, serves, San Pedro]
-
A.
San Pedro
San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
-
B.
San Pedro
San Pedro is the main town and administrative center of the municipality of Breña Alta on the island of La Palma in Spain’s Canary Islands.
-
C.
San Pedro
San Pedro is an affluent suburban municipality in the Monterrey metropolitan area of Nuevo León, Mexico, known for its high quality of life and business districts.
-
D.
San Pedro
chosen
San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
-
E.
San Pedro
San Pedro is a suburban city in the province of Laguna in the Philippines, known as a residential and industrial hub just south of Metro Manila.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a43add08190983b7ac88576fd7e |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbb92ffc81909de907f2bb64dd58 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.