Triple
T29025209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calamba–Los Baños Road |
E737571
|
entity |
| Predicate | hasCityAtTerminus |
P171096
|
FINISHED |
| Object | Calamba, 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: Calamba, Laguna | Statement: [Calamba–Los Baños Road, hasCityAtTerminus, Calamba, Laguna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityAtTerminus Context triple: [Calamba–Los Baños Road, hasCityAtTerminus, Calamba, Laguna]
-
A.
notableTerminusCity
Indicates that a city is notably recognized as a terminus (endpoint) of a route, line, or network.
-
B.
hasMajorCityOnRoute
Indicates that a major city lies along, or is directly served by, a specified route or path between locations.
-
C.
hasUrbanTerminus
chosen
Indicates that a route, line, or service ends or terminates within an urban area or city.
-
D.
isCity
Indicates that the subject entity is classified as a city.
-
E.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
- 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_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 9:52 a.m.