Triple
T12595127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prievidza |
E300711
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object |
I/9 road
The I/9 road is a major Slovak roadway that serves as an important regional transport route, including access to the town of Prievidza.
|
E991807
|
NE FINISHED |
How this triple was built (4 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: I/9 road | Statement: [Prievidza, roadConnection, I/9 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I/9 road Context triple: [Prievidza, roadConnection, I/9 road]
-
A.
I/10 road
The I/10 road is a major Czech roadway that connects the town of Harrachov with other regions in the country.
-
B.
I/32 road
The I/32 road is a Czech regional highway that serves as an important transport route connecting the town of Hořice with other parts of the Hradec Králové Region.
-
C.
I/35 road
The I/35 road is a major Czech highway that forms part of an important east–west transport corridor, connecting several towns and regions across the country.
-
D.
N90 road
The N90 road is a major Belgian route that connects the city of Binche with other key urban centers in the region.
-
E.
N-I road
The N-I road is a major Spanish national highway that forms part of the route connecting Madrid with the northern city of Irún near the French border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: I/9 road Triple: [Prievidza, roadConnection, I/9 road]
Generated description
The I/9 road is a major Slovak roadway that serves as an important regional transport route, including access to the town of Prievidza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I/9 road Target entity description: The I/9 road is a major Slovak roadway that serves as an important regional transport route, including access to the town of Prievidza.
-
A.
I/10 road
The I/10 road is a major Czech roadway that connects the town of Harrachov with other regions in the country.
-
B.
I/32 road
The I/32 road is a Czech regional highway that serves as an important transport route connecting the town of Hořice with other parts of the Hradec Králové Region.
-
C.
I/35 road
The I/35 road is a major Czech highway that forms part of an important east–west transport corridor, connecting several towns and regions across the country.
-
D.
N90 road
The N90 road is a major Belgian route that connects the city of Binche with other key urban centers in the region.
-
E.
N-I road
The N-I road is a major Spanish national highway that forms part of the route connecting Madrid with the northern city of Irún near the French border.
- F. None of above. chosen
Provenance (5 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec49af881908abb948567b82b74 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65faf33e0819092df07a5fa98cb73 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66036f520819098af75cd5578d573 |
completed | May 2, 2026, 8:36 p.m. |
Created at: April 9, 2026, 5:08 p.m.