Triple
T205732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anacreon |
E4606
|
entity |
| Predicate | meterUsed |
P4875
|
FINISHED |
| Object | anacreontic meter |
—
|
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: anacreontic meter | Statement: [Anacreon, meterUsed, anacreontic meter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meterUsed Context triple: [Anacreon, meterUsed, anacreontic meter]
-
A.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
hasMeter
chosen
Indicates that one entity possesses, uses, or is associated with a specific meter (a measuring device or metrical pattern).
-
D.
usesMetric
Indicates that one entity adopts, applies, or relies on a particular metric or measurement standard in its operation, evaluation, or description.
-
E.
metre
Indicates a measurement relationship where one entity’s length, distance, or size is quantified in units of metres.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b4c7f908190876c1041db52dffc |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.