Triple
T36102870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calamba City |
E1044262
|
entity |
| Predicate | hasMountainFeature |
P88540
|
FINISHED |
| Object | foothills of Mount Makiling |
—
|
LITERAL 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: foothills of Mount Makiling | Statement: [Calamba City, hasMountainFeature, foothills of Mount Makiling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountainFeature Context triple: [Calamba City, hasMountainFeature, foothills of Mount Makiling]
-
A.
hasMountain
Indicates that a location or region possesses or contains at least one mountain.
-
B.
mountainFeature
chosen
Indicates that one entity is a notable physical or geographical feature associated with, located on, or forming part of a mountain.
-
C.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
-
D.
hasMountainScenery
Indicates that a place or area features views or landscapes dominated by mountains.
-
E.
hasMountainRange
Indicates that one entity possesses, contains, or is geographically associated with a specific mountain range.
- 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_69f76e338e2c8190b7f3bc68bec76349 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.