Triple
T18736652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calabarzon |
E458179
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | San Pablo |
—
|
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 Pablo | Statement: [Calabarzon, hasMajorCity, San Pablo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pablo Context triple: [Calabarzon, hasMajorCity, San Pablo]
-
A.
San Pablo
San Pablo is a municipality located within the San Marcos Department in western Guatemala, known for its highland landscapes and agricultural economy.
-
B.
San Pablo
San Pablo is a neighborhood in Seville, Spain, known for its residential character and proximity to Seville Airport.
-
C.
San Pablo
San Pablo is a village located in the Orange Walk District of northern Belize, known for its rural community and agricultural surroundings.
-
D.
San Pablo
San Pablo is a major metro station in Santiago, Chile, serving as an important interchange and western terminus for multiple lines in the city's subway network.
-
E.
San Pablo
chosen
San Pablo is a city in the province of Laguna in the Philippines, known for its seven crater lakes and role as a commercial and cultural hub in the Southern Tagalog region.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.