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.