Triple

T16314651
Position Surface form Disambiguated ID Type / Status
Subject IGN Top25 E396142 entity
Predicate coordinateSystem P2054 FINISHED
Object RGF93
RGF93 is the official geodetic reference frame used in France for mapping and geographic information, aligned with the European ETRS89 system.
 E1205256 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: RGF93 | Statement: [IGN Top25, coordinateSystem, RGF93]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RGF93
Context triple: [IGN Top25, coordinateSystem, RGF93]
  • A. A93
    A93 is a German federal motorway (Autobahn) in Bavaria that provides a key north–south connection and links cities such as Hof (Saale) with the wider Autobahn network.
  • B. N93
    The N93 is a Nokia smartphone from the mid-2000s known for its swivel design and advanced video recording capabilities for its time.
  • C. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • D. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • E. R39
    R39 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
  • 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: RGF93
Triple: [IGN Top25, coordinateSystem, RGF93]
Generated description
RGF93 is the official geodetic reference frame used in France for mapping and geographic information, aligned with the European ETRS89 system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RGF93
Target entity description: RGF93 is the official geodetic reference frame used in France for mapping and geographic information, aligned with the European ETRS89 system.
  • A. A93
    A93 is a German federal motorway (Autobahn) in Bavaria that provides a key north–south connection and links cities such as Hof (Saale) with the wider Autobahn network.
  • B. N93
    The N93 is a Nokia smartphone from the mid-2000s known for its swivel design and advanced video recording capabilities for its time.
  • C. R99
    R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
  • D. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • E. R39
    R39 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288de57cc81908cec93309347c385 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa88e8c8190b0423b60389896dc completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a002067aa708190bc2583c95ab133a4 completed May 10, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00214a2a908190a11388a63de1f7af completed May 10, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:06 a.m.