Triple
T23249979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Perla, San Juan, Puerto Rico |
E581705
|
entity |
| Predicate | municipality |
P852
|
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: [La Perla, San Juan, Puerto Rico, municipality, San Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Juan Context triple: [La Perla, San Juan, Puerto Rico, municipality, San Juan]
-
A.
San Juan
chosen
San Juan is a common Spanish place name used for cities and towns across Latin America and Spain, often honoring Saint John.
-
B.
San Juan
San Juan is a highly urbanized city in Metro Manila, Philippines, known for its historical sites, dense residential and commercial areas, and role in the capital region’s urban core.
-
C.
San Juan
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 Philippine province of Batangas known for its beaches, dive spots, and heritage sites.
-
E.
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.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.