Triple
T6004870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOD1 |
E133684
|
entity |
| Predicate | hasCellularComponent |
P68682
|
FINISHED |
| Object | cytoplasm |
—
|
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: cytoplasm | Statement: [SOD1, hasCellularComponent, cytoplasm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCellularComponent Context triple: [SOD1, hasCellularComponent, cytoplasm]
-
A.
hasCellService
Indicates that a location, device, or area is within range of a cellular network and can access mobile phone or data services.
-
B.
isTethered
Indicates that one entity is physically or functionally tied, fastened, or constrained to another entity, limiting its independent movement or operation.
-
C.
hasSatelliteTerminal
Indicates that an entity is equipped with or connected to a satellite communication terminal.
-
D.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
E.
hasNFC
Indicates that one entity possesses or supports Near Field Communication (NFC) capability in relation to another entity or context.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:06 p.m.