Triple
T18769454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J.P. Rizal Avenue |
E458977
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | San Juan |
—
|
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 Juan | Statement: [J.P. Rizal Avenue, passesThrough, San Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Juan Context triple: [J.P. Rizal Avenue, passesThrough, San Juan]
-
A.
San Juan
San Juan is the largest city and main cultural, economic, and tourism hub of Puerto Rico, known for its historic colonial architecture and vibrant coastal setting.
-
B.
San Juan
San Juan is an Argentine wine-producing region recognized for its significant Malbec production.
-
C.
San Juan
chosen
San Juan is a coastal municipality on Siquijor Island in the Philippines known for its beaches, dive spots, and laid-back tourist resorts.
-
D.
San Juan
San Juan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural communities and proximity to the South China Sea.
-
E.
San Juan
San Juan is a common Spanish place name used for cities and towns across Latin America and Spain, often honoring Saint John.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d8782b4819080513fb46798c4db |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.