Triple
T27593599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesos agent |
E699838
|
entity |
| Predicate | registersWith |
P122245
|
FINISHED |
| Object | Mesos master |
—
|
NE NERFINISHED |
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: Mesos master | Statement: [Mesos agent, registersWith, Mesos master]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registersWith Context triple: [Mesos agent, registersWith, Mesos master]
-
A.
relatedRegister
Indicates a relationship where one entity is associated with, linked to, or corresponds to a particular register or record in a system.
-
B.
officialRegisterOf
Indicates that one entity serves as the authoritative, formally maintained record or registry for another entity.
-
C.
registrationFor
chosen
Indicates a relationship where one entity is enrolled, signed up, or formally recorded to participate in, use, or be associated with another entity (such as an event, service, or program).
-
D.
supportsRegistration
Indicates that an entity provides the capability or functionality to handle or accept registration actions or processes.
-
E.
typicalRegister
Indicates the usual or most common linguistic register (e.g., formal, informal, technical) in which something—such as a word, expression, or communication—is typically used.
- 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_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 2:06 p.m.