Triple
T10734739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus as evening star |
E253163
|
entity |
| Predicate | visibilityFrequency |
P16211
|
FINISHED |
| Object | several months in a row |
—
|
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: several months in a row | Statement: [Venus as evening star, visibilityFrequency, several months in a row]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibilityFrequency Context triple: [Venus as evening star, visibilityFrequency, several months in a row]
-
A.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
B.
inspectionFrequency
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
C.
visibilityRequirement
Indicates that one entity must be visible or perceivable under specified conditions for another entity, action, or rule to apply.
-
D.
visibilityDuration
chosen
Indicates the length of time for which something remains visible or observable.
-
E.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.