Triple
T12516795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | egrep |
E299208
|
entity |
| Predicate | behaviorInGNUgrep |
P105408
|
FINISHED |
| Object | equivalent to grep -E |
—
|
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: equivalent to grep -E | Statement: [egrep, behaviorInGNUgrep, equivalent to grep -E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: behaviorInGNUgrep Context triple: [egrep, behaviorInGNUgrep, equivalent to grep -E]
-
A.
flagPattern
Indicates that one entity has a flag whose design or pattern matches or represents the other entity.
-
B.
usagePattern
Indicates how something is typically used or the recurring manner in which it is employed or consumed.
-
C.
furPattern
Indicates the type or arrangement of fur markings or coloration that characterizes an entity’s coat.
-
D.
operatingPattern
Indicates the characteristic way in which an entity functions or operates over time, such as its typical mode, schedule, or behavioral pattern.
-
E.
pattern
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.