Triple
T29025210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calamba–Los Baños Road |
E737571
|
entity |
| Predicate | hasTownAtTerminus |
P171096
|
FINISHED |
| Object | Los Baños, Laguna |
—
|
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: Los Baños, Laguna | Statement: [Calamba–Los Baños Road, hasTownAtTerminus, Los Baños, Laguna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTownAtTerminus Context triple: [Calamba–Los Baños Road, hasTownAtTerminus, Los Baños, Laguna]
-
A.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
-
B.
hasSuburbanTerminus
Indicates that a transportation route or service ends at a terminus located in a suburban area.
-
C.
hasUrbanTerminus
chosen
Indicates that a route, line, or service ends or terminates within an urban area or city.
-
D.
hasRailwayTown
Indicates that a location is associated with or contains a town characterized by the presence of a railway or railway facilities.
-
E.
isTownCenterOf
Indicates that a location functions as the central, primary area or hub of a specified town.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 28, 2026, 9:52 a.m.