Triple
T18766420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mines View Park |
E458904
|
entity |
| Predicate | hasNearbyProduct |
P115275
|
FINISHED |
| Object | Baguio ube jam (Good Shepherd) |
—
|
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: Baguio ube jam (Good Shepherd) | Statement: [Mines View Park, hasNearbyProduct, Baguio ube jam (Good Shepherd)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyProduct Context triple: [Mines View Park, hasNearbyProduct, Baguio ube jam (Good Shepherd)]
-
A.
hasNearbyCommon
Indicates that two entities share at least one common element, feature, or connection that is located within a specified nearby distance or vicinity.
-
B.
hasNearbyPropertyType
chosen
Indicates that one entity has another entity of a specified property type located in close physical proximity to it.
-
C.
hasNearbyProject
Indicates that one entity has a project located within a close or specified proximity to another entity or reference point.
-
D.
hasNearbyMode
Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
-
E.
hasNearbySiteType
Indicates that one entity has another entity of a specified site type located in its close physical vicinity.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d84cfa881909a1d3f7a5ab82574 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.