Triple
T31647239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LOTOS |
E807612
|
entity |
| Predicate | supportsAnalysis |
P203995
|
FINISHED |
| Object | deadlock detection |
—
|
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: deadlock detection | Statement: [LOTOS, supportsAnalysis, deadlock detection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAnalysis Context triple: [LOTOS, supportsAnalysis, deadlock detection]
-
A.
supportsAnalysisOf
chosen
Indicates that one entity enables, facilitates, or is suitable for performing analysis on another entity.
-
B.
hasAnalysis
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
C.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
-
D.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
E.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:51 p.m.