Triple
T12517118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | msgcat |
E299215
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | xgettext |
E299214
|
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: xgettext | Statement: [msgcat, relatedTo, xgettext]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: xgettext Context triple: [msgcat, relatedTo, xgettext]
-
A.
GNU gettext
GNU gettext is a widely used GNU internationalization and localization framework that provides tools and libraries for translating the text of software programs into different languages.
-
B.
libintl
libintl is the core internationalization library from the GNU gettext system that provides runtime support for translating program messages into different languages.
-
C.
GTrans
GTrans is a public bus transit system serving the city of Gardena and surrounding areas in Los Angeles County, California.
-
D.
textutils
textutils was the former name of a collection of GNU command-line text processing utilities that were later consolidated into the GNU Core Utilities package.
-
E.
msgmerge
chosen
msgmerge is a GNU gettext utility that updates translation files by intelligently merging new message catalogs with existing translations.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.