Triple
T20069497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Madre mountain range (eastern foothills of Luzon) |
E499695
|
entity |
| Predicate | hasFoothillsOn |
P138580
|
FINISHED |
| Object | eastern foothills of Luzon |
—
|
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: eastern foothills of Luzon | Statement: [Sierra Madre mountain range (eastern foothills of Luzon), hasFoothillsOn, eastern foothills of Luzon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFoothillsOn Context triple: [Sierra Madre mountain range (eastern foothills of Luzon), hasFoothillsOn, eastern foothills of Luzon]
-
A.
hasCityAtFoothills
Indicates that a city is located at the foothills of a mountain or mountain range.
-
B.
isOnHighPlains
Indicates that something is located on or situated within a region of elevated, relatively flat high plains.
-
C.
hasValleyAccessTo
Indicates that one location can be reached from another specifically by traveling through a valley or valley-based route.
-
D.
isOnHill
Indicates that one entity is located on or atop a hill relative to another reference frame or context.
-
E.
hasCliffsOn
Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
- F. None of above. chosen
Provenance (4 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:39 p.m.