Triple

T18713491
Position Surface form Disambiguated ID Type / Status
Subject Istres E457575 entity
Predicate regionCode P208 FINISHED
Object FR-PAC
FR-PAC is the regional code for Provence-Alpes-Côte d'Azur, an administrative region in southeastern France known for its Mediterranean coastline and the Alps.
 E1338656 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: FR-PAC | Statement: [Istres, regionCode, FR-PAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FR-PAC
Context triple: [Istres, regionCode, FR-PAC]
  • A. FrP
    FrP is the commonly used abbreviation for Norway's Progress Party, a right-wing political party known for its liberal economic policies and restrictive immigration stance.
  • B. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • C. FP
    FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
  • D. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • E. PAC
    PAC is the stock ticker symbol for Grupo Aeroportuario del Pacífico, a major Mexican airport operator that manages multiple airports in the Pacific region.
  • 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: FR-PAC
Triple: [Istres, regionCode, FR-PAC]
Generated description
FR-PAC is the regional code for Provence-Alpes-Côte d'Azur, an administrative region in southeastern France known for its Mediterranean coastline and the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FR-PAC
Target entity description: FR-PAC is the regional code for Provence-Alpes-Côte d'Azur, an administrative region in southeastern France known for its Mediterranean coastline and the Alps.
  • A. FrP
    FrP is the commonly used abbreviation for Norway's Progress Party, a right-wing political party known for its liberal economic policies and restrictive immigration stance.
  • B. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • C. FP
    FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
  • D. FP
    FP is the station code for Floral Park station on the Long Island Rail Road in New York.
  • E. PAC
    PAC is the stock ticker symbol for Grupo Aeroportuario del Pacífico, a major Mexican airport operator that manages multiple airports in the Pacific region.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab352b481909b444e7c476898f4 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b413d348190b34e236d44fb541a completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c40cd04819096757952a275ddcf completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d1122ac819081c664d90d784a82 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:50 a.m.