Triple
T30855415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Ferdinand |
E785904
|
entity |
| Predicate | laterLanguageOfCommunity |
P198824
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [St. Ferdinand, laterLanguageOfCommunity, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLanguageOfCommunity Context triple: [St. Ferdinand, laterLanguageOfCommunity, English]
-
A.
formerLanguageCommunity
Indicates that a group or community previously used a particular language but no longer does so.
-
B.
hasLanguageCommunity
Indicates that an entity is associated with or serves a particular language community.
-
C.
oneOfLastCommunitiesWhereLanguageSpoken
Indicates that the subject community is among the final remaining communities in which the specified language is still actively spoken.
-
D.
laterLanguageDominant
Indicates that one language becomes the dominant or primary language for an entity at a later point in time, after another language previously held that role.
-
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. chosen
Provenance (4 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69ff0d800ee88190835e233d9e846cdb |
completed | May 9, 2026, 10:33 a.m. |
Created at: April 29, 2026, 8:46 p.m.