Triple
T2070817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Émilion classification |
E44811
|
entity |
| Predicate | revisionInterval |
P11407
|
FINISHED |
| Object | approximately every 10 years |
—
|
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: approximately every 10 years | Statement: [Saint-Émilion classification, revisionInterval, approximately every 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisionInterval Context triple: [Saint-Émilion classification, revisionInterval, approximately every 10 years]
-
A.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
B.
evaluationCycle
chosen
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
-
C.
reorganizationPeriod
Indicates the time span during which a structural or organizational change is planned, underway, or in effect.
-
D.
revisionMechanism
Indicates the method or process by which something is updated, corrected, or modified over time.
-
E.
dosingInterval
Indicates the time period that should elapse between consecutive doses of a medication or treatment.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f677108190aea3c8db7850c892 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.