Triple
T9625734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erathem |
E232458
|
entity |
| Predicate | superunitOf |
P89327
|
FINISHED |
| Object | system |
—
|
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: system | Statement: [Erathem, superunitOf, system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superunitOf Context triple: [Erathem, superunitOf, system]
-
A.
isMajorUnitOf
Indicates that one unit functions as the primary or principal component within a larger organizational or structural context of another entity.
-
B.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
C.
managementUnitOf
Indicates that one entity serves as the administrative or managerial unit responsible for overseeing or controlling another entity.
-
D.
subunitOf
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
-
E.
baseUnitOf
Indicates that one unit serves as the fundamental reference or standard measurement unit for another derived or related unit.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afb67c88190aa170716f0033752 |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:10 p.m.