Triple
T37967901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mainit, Surigao del Norte |
E947197
|
entity |
| Predicate | isLakesideMunicipalityOf |
P128880
|
FINISHED |
| Object | Lake Mainit |
—
|
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: Lake Mainit | Statement: [Mainit, Surigao del Norte, isLakesideMunicipalityOf, Lake Mainit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLakesideMunicipalityOf Context triple: [Mainit, Surigao del Norte, isLakesideMunicipalityOf, Lake Mainit]
-
A.
isLakesideMunicipality
chosen
Indicates that a municipality is located on the shore of a lake or directly borders a lake.
-
B.
cityOnLake
Indicates that a city is located on the shore or edge of a particular lake.
-
C.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
-
D.
lakeIs
Indicates that one entity is classified as or functions as a lake in relation to another entity or context.
-
E.
hasLakes
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
- F. None of above.
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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.