Triple

T1573955
Position Surface form Disambiguated ID Type / Status
Subject Cavalaire-sur-Mer E33604 entity
Predicate hasTransport P1298 FINISHED
Object D559 road
The D559 road is a coastal route in southeastern France that connects several towns along the French Riviera, including Cavalaire-sur-Mer.
E180871 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: D559 road | Statement: [Cavalaire-sur-Mer, hasTransport, D559 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D559 road
Context triple: [Cavalaire-sur-Mer, hasTransport, D559 road]
  • A. N59 road
    The N59 road is a regional highway in the southwestern Netherlands that connects several islands in the province of Zeeland and South Holland.
  • B. A955 road
    The A955 road is a coastal route in Fife, Scotland, linking several towns along the north shore of the Firth of Forth, including Methil.
  • C. D970 road
    The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
  • D. N57 road
    The N57 road is a major Dutch highway running through the southwestern Netherlands, connecting several islands and coastal regions as part of the country’s primary road network.
  • E. D884 road
    The D884 road is a regional route in eastern France that connects the town of Saint-Genis-Pouilly to surrounding areas near the Swiss 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: D559 road
Triple: [Cavalaire-sur-Mer, hasTransport, D559 road]
Generated description
The D559 road is a coastal route in southeastern France that connects several towns along the French Riviera, including Cavalaire-sur-Mer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: D559 road
Target entity description: The D559 road is a coastal route in southeastern France that connects several towns along the French Riviera, including Cavalaire-sur-Mer.
  • A. N59 road
    The N59 road is a regional highway in the southwestern Netherlands that connects several islands in the province of Zeeland and South Holland.
  • B. A955 road
    The A955 road is a coastal route in Fife, Scotland, linking several towns along the north shore of the Firth of Forth, including Methil.
  • C. D970 road
    The D970 road is a departmental route in southern France that serves as a regional connector in and around the town of Tarascon.
  • D. N57 road
    The N57 road is a major Dutch highway running through the southwestern Netherlands, connecting several islands and coastal regions as part of the country’s primary road network.
  • E. D884 road
    The D884 road is a regional route in eastern France that connects the town of Saint-Genis-Pouilly to surrounding areas near the Swiss 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908bcd87881908b911314a30dd327 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4861ffc48190bf77fc8036923e38 completed March 8, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad48b05a2881909459504f8fa0ec0c completed March 8, 2026, 10 a.m.
Created at: March 4, 2026, 7:27 p.m.