Triple
T11655822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dta.exe |
E277009
|
entity |
| Predicate | acceptsInput |
P44777
|
FINISHED |
| Object | SQL trace files |
—
|
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: SQL trace files | Statement: [dta.exe, acceptsInput, SQL trace files]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsInput Context triple: [dta.exe, acceptsInput, SQL trace files]
-
A.
hasInput
chosen
Indicates that an entity receives or takes another entity as an input to its process, function, or operation.
-
B.
supportsControllerInput
Indicates that an entity is capable of receiving and handling input from a controller device.
-
C.
input
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
D.
supportsUserInteraction
Indicates that an entity enables or facilitates direct interaction with a user, such as receiving input or providing responsive feedback.
-
E.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3cee010819089cffdbefe5a6efb |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.