Triple
T36615278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tryweryn Valley |
E903587
|
entity |
| Predicate | languageOfCommunityBeforeFlooding |
P195347
|
FINISHED |
| Object | Welsh |
—
|
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: Welsh | Statement: [Tryweryn Valley, languageOfCommunityBeforeFlooding, Welsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCommunityBeforeFlooding Context triple: [Tryweryn Valley, languageOfCommunityBeforeFlooding, Welsh]
-
A.
laterLanguageOfCommunity
Indicates that one language developed later in time as the language used by a particular community, succeeding an earlier community language.
-
B.
formerLanguageCommunity
chosen
Indicates that a group or community previously used a particular language but no longer does so.
-
C.
oneOfLastCommunitiesWhereLanguageSpoken
Indicates that the subject community is among the final remaining communities in which the specified language is still actively spoken.
-
D.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language community.
-
E.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a013d7180d08190b76f64cb430af9e1 |
completed | May 11, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_6a013c77d23c8190bb59e458b506d6e9 |
completed | May 11, 2026, 2:18 a.m. |
Created at: May 3, 2026, 4:11 p.m.