Triple
T10086147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignicoccus hospitalis |
E215224
|
entity |
| Predicate | ATPGenerationSite |
P7849
|
FINISHED |
| Object | outer membrane |
—
|
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: outer membrane | Statement: [Ignicoccus hospitalis, ATPGenerationSite, outer membrane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ATPGenerationSite Context triple: [Ignicoccus hospitalis, ATPGenerationSite, outer membrane]
-
A.
atmosphereGenerationMethod
Indicates the method or process by which an atmosphere is produced or generated.
-
B.
isSiteOf
chosen
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
C.
networkGeneration
Indicates the creation or formation of a network, specifying that entities are involved in establishing or generating connections within a network structure.
-
D.
architectureGeneration
Indicates the creation or design of an architectural structure, system, or layout from given inputs or specifications.
-
E.
dataRateGeneration
Indicates the rate at which data is produced or generated over time in a given context.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:01 p.m.