Triple
T35315478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Masovia |
E1019891
|
entity |
| Predicate | associatedWithNeighboringEntity |
P75455
|
FINISHED |
| Object | Teutonic Order |
E72830
|
NE 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: Teutonic Order | Statement: [Duke of Masovia, associatedWithNeighboringEntity, Teutonic Order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNeighboringEntity Context triple: [Duke of Masovia, associatedWithNeighboringEntity, Teutonic Order]
-
A.
hasNeighborRelationshipWith
Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
-
B.
neighboringTo
chosen
Indicates that one entity is located directly adjacent or very close to another entity, sharing a common boundary or immediate vicinity.
-
C.
isAdjacentTo
Indicates that one entity is directly next to or bordering another without anything of the same type in between.
-
D.
associatedWithPeriphery
Indicates that one entity is connected, related, or linked to the outer boundary or peripheral part of another entity or system.
-
E.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
- F. None of above.
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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3819f375608190aec4d7409b2d7baa |
completed | June 21, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.