Triple
T8288804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DISM |
E193844
|
entity |
| Predicate | replaces |
P101
|
FINISHED |
| Object | Intlcfg |
E625237
|
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: Intlcfg | Statement: [DISM, replaces, Intlcfg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intlcfg Context triple: [DISM, replaces, Intlcfg]
-
A.
Region and Language
Region and Language is a Windows Control Panel tool that lets users configure system locale, regional formats, and language settings.
-
B.
Langues
Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
-
C.
Translations
Translations is a critically acclaimed play by Irish dramatist Brian Friel that explores themes of language, identity, and colonialism in 19th-century rural Ireland.
-
D.
Unicode CLDR
Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
-
E.
Locale Data Markup Language
chosen
Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c98e15c8190ac2a0b2a5ff834c9 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68898610819091a76f89cd2a6aa2 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.