Triple
T17610336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTF |
E428949
|
entity |
| Predicate | testSectionType |
P128271
|
FINISHED |
| Object | closed-circuit |
—
|
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: closed-circuit | Statement: [NTF, testSectionType, closed-circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSectionType Context triple: [NTF, testSectionType, closed-circuit]
-
A.
sectionType
Indicates the specific kind or category of section that an entity belongs to or represents.
-
B.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
C.
stratotypeSection
Indicates the reference rock section formally designated as the standard or type example for a particular stratigraphic unit or boundary.
-
D.
isSectionOfDocumentType
Indicates that one entity is a section or component belonging to a specific type of document.
-
E.
testSectionHeight
Indicates that a specific test section has a particular height value or measurement.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2d294881908380b2ab0b4d2503 |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.