Triple
T32434328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno-Židenice |
E828814
|
entity |
| Predicate | hasSignificantRoad |
P93805
|
FINISHED |
| Object |
Gajdošova street
Gajdošova Street is a notable thoroughfare in the Brno-Židenice district of Brno, Czech Republic, serving as an important local traffic and access route.
|
E2006592
|
NE FINISHED |
How this triple was built (3 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: Gajdošova street | Statement: [Brno-Židenice, hasSignificantRoad, Gajdošova street]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gajdošova street Triple: [Brno-Židenice, hasSignificantRoad, Gajdošova street]
Generated description
Gajdošova Street is a notable thoroughfare in the Brno-Židenice district of Brno, Czech Republic, serving as an important local traffic and access route.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantRoad Context triple: [Brno-Židenice, hasSignificantRoad, Gajdošova street]
-
A.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
B.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
C.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
D.
hasRoads
chosen
Indicates that there exist constructed road connections linking the related entities.
-
E.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
- F. None of above.
Provenance (6 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_69f3491bf298819097b610f772d54a6d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a344f2f89f08190836855e106878652 |
completed | June 18, 2026, 8:03 p.m. |
| NEDg | Description generation | batch_6a345176fb888190b58b7d32f631a58a |
completed | June 18, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a345ec17aec8190abe60c7682d1551e |
completed | June 18, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 12:55 a.m.