Triple
T32879366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayer f-function formalism |
E841012
|
entity |
| Predicate | representsParticlesAs |
P151762
|
FINISHED |
| Object | graph vertices |
—
|
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: graph vertices | Statement: [Mayer f-function formalism, representsParticlesAs, graph vertices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsParticlesAs Context triple: [Mayer f-function formalism, representsParticlesAs, graph vertices]
-
A.
treatsParticlesAs
chosen
Indicates that one entity handles, models, or regards certain elements or components specifically as particles within a given context or system.
-
B.
representsAs
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
C.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
D.
usedParticle
Indicates that one entity employs or applies a particular particle (e.g., subatomic, linguistic, or material) in some process, context, or construction involving another entity.
-
E.
representedInPartBy
Indicates that something is partially depicted, expressed, or captured within another thing, but not in its entirety.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:18 a.m.