Triple
T2120672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine Mobile Belt |
E43913
|
entity |
| Predicate | hasMicroplate |
P34962
|
FINISHED |
| Object | Philippine Sea Plate microplates |
—
|
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: Philippine Sea Plate microplates | Statement: [Philippine Mobile Belt, hasMicroplate, Philippine Sea Plate microplates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMicroplate Context triple: [Philippine Mobile Belt, hasMicroplate, Philippine Sea Plate microplates]
-
A.
hasMIC
Indicates that an entity has a specified Minimum Inhibitory Concentration (MIC) value in relation to an antimicrobial agent.
-
B.
hasMicrocontroller
Indicates that an entity contains, includes, or is equipped with a microcontroller as one of its components.
-
C.
isMICFor
Indicates that one entity represents the minimum inhibitory concentration (MIC) value determined for another entity, typically a microorganism or drug.
-
D.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
E.
hasElectrode
Indicates that one entity is equipped with, contains, or is associated with an electrode component.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3404348190bc843022fbd2b4d0 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.