Triple
T2792727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Awk |
E61964
|
entity |
| Predicate | commandName |
P34872
|
FINISHED |
| Object | gawk |
E61964
|
NE 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: gawk | Statement: [GNU Awk, commandName, gawk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gawk Context triple: [GNU Awk, commandName, gawk]
-
A.
GNU Awk
chosen
GNU Awk is the GNU Project’s enhanced implementation of the AWK programming language, widely used for powerful text processing and data extraction in Unix-like environments.
-
B.
GNU As
GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
-
C.
GNU Grep
GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
-
D.
GNU Sed
GNU Sed is the GNU Project’s free, open-source implementation of the stream editor `sed`, widely used for non-interactive text processing and transformation on Unix-like systems.
-
E.
GAW
GAW is a World Meteorological Organization program that coordinates global observations and analysis of atmospheric composition and related environmental changes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd107ac81908eb1a6946834eee3 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9069f481908c4a3e8814caf590 |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:58 p.m.