Triple
T17777860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolución |
E443818
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | San Rafael |
—
|
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 Rafael | Statement: [Revolución, servesNeighborhood, San Rafael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Rafael Context triple: [Revolución, servesNeighborhood, San Rafael]
-
A.
San Rafael
San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
-
B.
San Rafael
San Rafael is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and growing suburban communities.
-
C.
San Rafael
San Rafael is a small rural municipality in Chile’s Maule Region, known for its agricultural activities and proximity to the regional capital, Talca.
-
D.
San Rafael
San Rafael is a barangay (village-level administrative division) within the municipality of San Narciso in the province of Zambales, Philippines.
-
E.
San Rafael
San Rafael is a barangay (village-level administrative division) within the municipality of San Felipe in the province of Zambales, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.