Triple
T3442136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastphalian |
E72588
|
entity |
| Predicate | languageCodeStatus |
P6525
|
FINISHED |
| Object | no separate ISO 639-3 code (grouped under Low German) |
—
|
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: no separate ISO 639-3 code (grouped under Low German) | Statement: [Eastphalian, languageCodeStatus, no separate ISO 639-3 code (grouped under Low German)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageCodeStatus Context triple: [Eastphalian, languageCodeStatus, no separate ISO 639-3 code (grouped under Low German)]
-
A.
languageStatusSource
Indicates the source or authority from which the information about a language’s status is derived.
-
B.
ISO639Status
Indicates the classification of a language’s status according to the ISO 639 standard (e.g., whether and how it is recognized or coded in that system).
-
C.
hasLanguageStatus
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
-
D.
ISO639_3Status
chosen
Indicates the classification or status assigned to a language according to the ISO 639-3 standard (e.g., active, extinct, historical, constructed).
-
E.
languageCodeStandard
Indicates that a language code conforms to a specific standardized coding scheme (such as ISO language code standards).
- F. None of above.
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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba28ec448190a6a07c5f16235fe3 |
completed | March 8, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.