Triple

T14758495
Position Surface form Disambiguated ID Type / Status
Subject Monthermé E346792 entity
Predicate roadAccessVia P9041 FINISHED
Object D989 road
The D989 road is a regional route in northeastern France that provides access to the town of Monthermé and connects it with other nearby localities.
E1118537 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: D989 road | Statement: [Monthermé, roadAccessVia, D989 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D989 road
Context triple: [Monthermé, roadAccessVia, D989 road]
  • A. D988 road
    The D988 road is a regional route in southern France that connects the town of Langogne with other nearby localities in the Lozère area.
  • B. D985 road
    The D985 road is a departmental route in eastern France that serves as a regional connector passing through the town of Charolles in the Saône-et-Loire department.
  • C. D983 road
    The D983 road is a regional route in central France that provides access to the scenic Lac de Guéry in the Massif Central.
  • D. D984 road
    The D984 road is a departmental route in eastern France that serves local traffic and connects towns such as Pont d’Ain within the regional road network.
  • E. D93 road
    D93 road is a regional roadway that provides access to the village of Die in southeastern France, connecting it to the surrounding Drôme area.
  • 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: D989 road
Triple: [Monthermé, roadAccessVia, D989 road]
Generated description
The D989 road is a regional route in northeastern France that provides access to the town of Monthermé and connects it with other nearby localities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: D989 road
Target entity description: The D989 road is a regional route in northeastern France that provides access to the town of Monthermé and connects it with other nearby localities.
  • A. D988 road
    The D988 road is a regional route in southern France that connects the town of Langogne with other nearby localities in the Lozère area.
  • B. D985 road
    The D985 road is a departmental route in eastern France that serves as a regional connector passing through the town of Charolles in the Saône-et-Loire department.
  • C. D983 road
    The D983 road is a regional route in central France that provides access to the scenic Lac de Guéry in the Massif Central.
  • D. D984 road
    The D984 road is a departmental route in eastern France that serves local traffic and connects towns such as Pont d’Ain within the regional road network.
  • E. D93 road
    D93 road is a regional roadway that provides access to the village of Die in southeastern France, connecting it to the surrounding Drôme area.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe15f78180819088c7be010ef27029 completed May 8, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69fe165c1f188190963f9b78272f41f7 completed May 8, 2026, 4:59 p.m.
Created at: April 10, 2026, 1:30 a.m.