Triple
T1729009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szeged |
E37566
|
entity |
| Predicate | receivedTownRightsIn |
P3431
|
FINISHED |
| Object | 13th century |
—
|
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: 13th century | Statement: [Szeged, receivedTownRightsIn, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedTownRightsIn Context triple: [Szeged, receivedTownRightsIn, 13th century]
-
A.
grantedTownRights
chosen
Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
-
B.
receivedTerritory
Indicates that one entity was granted or took possession of a territory from another entity.
-
C.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
D.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
E.
landGrantedBy
Indicates that one party has given or transferred legal rights to a piece of land to another party.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.