Triple
T13150678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fernando Region |
E312455
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | San Fernando Region |
E312455
|
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 Fernando Region | Statement: [San Fernando Region, hasName, San Fernando Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Fernando Region Context triple: [San Fernando Region, hasName, San Fernando Region]
-
A.
San Fernando Region
chosen
San Fernando Region is an administrative region that encompasses the city of San Fernando and its surrounding areas.
-
B.
Lagunas region
The Lagunas region is a subregion of the Mexican state of Jalisco known for its numerous lakes and lagoons, which shape its local economy and landscape.
-
C.
Laguna Region
The Laguna Region is an important industrial and agricultural area in northern Mexico, centered around the cities of Torreón, Gómez Palacio, and Lerdo, known especially for cotton production and dairy farming.
-
D.
Norte Samareño
Norte Samareño is the term used to refer to residents or natives of the Philippine province of Northern Samar.
-
E.
Soccsksargen region
Soccsksargen is an administrative region in south-central Mindanao in the Philippines, known for its rich fisheries, agriculture, and diverse cultural communities.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd1fc408190b4b5ca973bcee403 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaea3f888190b47ed7bf1c52e7e7 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.