Triple
T31496074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raabs an der Thaya |
E803542
|
entity |
| Predicate | isMedievalTown |
P142378
|
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: [Raabs an der Thaya, isMedievalTown, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMedievalTown Context triple: [Raabs an der Thaya, isMedievalTown, true]
-
A.
isMedieval
Indicates that something belongs to, originates from, or is characteristic of the medieval (Middle Ages) period.
-
B.
hasMedievalBuilding
Indicates that one entity possesses, contains, or includes a building dating from the medieval period.
-
C.
hasMedievalCityCenter
chosen
Indicates that a place possesses a historically preserved or identifiable city center originating from the medieval period.
-
D.
majorMedievalCity
Indicates that a location was a significant and influential urban center during the medieval period.
-
E.
medievalStatus
Indicates the social, legal, or hierarchical standing an entity holds within a medieval societal structure.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1ea029c8190ab83ffdf6a18caf8 |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:41 p.m.