Triple
T19643523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franeker |
E471605
|
entity |
| Predicate | isHistoricUniversityTown |
P136802
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Franeker, isHistoricUniversityTown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricUniversityTown Context triple: [Franeker, isHistoricUniversityTown, true]
-
A.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
B.
hasHistoricCenterStatus
Indicates that an entity has been designated or recognized as a historic center, typically due to its cultural, architectural, or historical significance.
-
C.
isHistoricCenterOf
Indicates that a place serves as the historically significant core or original central area of another location, typically a city or town.
-
D.
isHistoricCoastalCity
Indicates that a city is both historically significant and located along a coast.
-
E.
isInHistoricCenterOf
Indicates that one entity is located within the historic center area of another entity (typically a city or town).
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641239ca08190a8bb8854f21ab562 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.