Triple
T28616193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetEnvironmentVariable |
E724277
|
entity |
| Predicate | includesNullTerminatorInCount |
P199122
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [GetEnvironmentVariable, includesNullTerminatorInCount, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNullTerminatorInCount Context triple: [GetEnvironmentVariable, includesNullTerminatorInCount, true]
-
A.
countIncludes
Indicates that a numerical count encompasses or contains a specified subset, element, or component within its total.
-
B.
hasEndingCountApproximate
Indicates that the number of endings associated with an entity is known only approximately rather than as an exact count.
-
C.
usesCounterLength
Indicates that one entity determines or measures something based on the length of a counter value.
-
D.
requiresTerminatorAtEachEnd
Indicates that the related entity must have a terminator component installed or present at both of its ends.
-
E.
isCountedAs
Indicates that one entity is treated or included as part of the tally, total, or quantitative assessment of another entity.
- F. None of above. chosen
Provenance (4 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
| PDg | Predicate description generation | batch_69ff21ca6964819088bdf1810b7863f2 |
completed | May 9, 2026, noon |
Created at: April 28, 2026, 4:32 a.m.