Triple
T27655301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PMA-1 |
E696975
|
entity |
| Predicate | connectsModule |
P191562
|
FINISHED |
| Object | Unity module |
—
|
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: Unity module | Statement: [PMA-1, connectsModule, Unity module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsModule Context triple: [PMA-1, connectsModule, Unity module]
-
A.
connectsSystem
Indicates that one system establishes a link or interface with another system, enabling interaction or data exchange between them.
-
B.
connectsFunction
Indicates a functional relationship where one entity serves as a connection or linkage mechanism between two or more other entities.
-
C.
connectsWorks
Indicates a relationship where one work serves to link, bridge, or associate two or more other works.
-
D.
connectsMine
Indicates that one entity is linked or joined to another entity in the context of a mine or mining-related structure.
-
E.
connectsPartOf
Indicates a relationship where one entity serves to link or join a component to the larger whole of which that component is a part.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 27, 2026, 2:34 p.m.