Triple
T13855947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MP 73 |
E333062
|
entity |
| Predicate | usedOnSectionType |
P64960
|
FINISHED |
| Object | elevated sections |
—
|
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: elevated sections | Statement: [MP 73, usedOnSectionType, elevated sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnSectionType Context triple: [MP 73, usedOnSectionType, elevated sections]
-
A.
appliesToSectionOf
chosen
Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
-
B.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
C.
usedOnPart
Indicates that something is applied to, operates on, or is intended for use with a specific part of a larger object or system.
-
D.
usedInType
Indicates that something serves as a component, element, or example within a particular type or category.
-
E.
usedOnMode
Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.