Triple
T27587838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octavia |
E699727
|
entity |
| Predicate | amphoraeAre |
P149130
|
FINISHED |
| Object | load balancer virtual machines |
—
|
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: load balancer virtual machines | Statement: [Octavia, amphoraeAre, load balancer virtual machines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amphoraeAre Context triple: [Octavia, amphoraeAre, load balancer virtual machines]
-
A.
areA
chosen
Indicates that one entity is classified as a type, instance, or member of another entity or category.
-
B.
storedInAntiquityAs
Indicates that something was kept, preserved, or archived during ancient times in a particular place or container.
-
C.
PyrgiTabletsMaterial
Indicates that something is made of, or composed from, the material used for the Pyrgi Tablets.
-
D.
possibleFermentationVessel
Indicates that something can serve as a suitable container or environment in which fermentation may take place.
-
E.
έχειΡωμαϊκόΙσοδύναμο
Indicates that something has a corresponding or equivalent counterpart in Roman culture or context.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6301b49b48190ba04ed98a25cb7d6 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:04 p.m.