Triple
T9739169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Street |
E236141
|
entity |
| Predicate | hasNamingLanguageRoot |
P90436
|
FINISHED |
| Object | Latin "universitas" via English "university" |
—
|
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: Latin "universitas" via English "university" | Statement: [University Street, hasNamingLanguageRoot, Latin "universitas" via English "university"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamingLanguageRoot Context triple: [University Street, hasNamingLanguageRoot, Latin "universitas" via English "university"]
-
A.
hasNaming
Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
-
B.
hasLatinizedName
Indicates that an entity is associated with a version of its name that has been converted into Latin form or spelling.
-
C.
hasLanguageIndependentName
Indicates that an entity possesses a name or label that is the same across all languages, not tied to any specific linguistic form.
-
D.
hasEndonymLanguage
Indicates that the language specified is the one in which a name or term is expressed in its own native or local form.
-
E.
hasGlottologName
Indicates that an entity is associated with a specific name as recorded in the Glottolog linguistic database.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef43fec8190987628f401a27436 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:22 p.m.