Triple

T19680390
Position Surface form Disambiguated ID Type / Status
Subject Halluin E472567 entity
Predicate regionCode P208 FINISHED
Object FR-HDF
FR-HDF is the regional code for Hauts-de-France, an administrative region in northern France bordering Belgium and the English Channel.
E1389645 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-HDF | Statement: [Halluin, regionCode, FR-HDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FR-HDF
Context triple: [Halluin, regionCode, FR-HDF]
  • A. HFDF
    HFDF is an abbreviation that can refer to various entities or terms, depending on the specific context in which it is used.
  • B. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • C. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • D. FRHG
    FRHG is the Romanian Ice Hockey Federation, the national governing body responsible for organizing and overseeing ice hockey activities and competitions in Romania.
  • E. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • 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-HDF
Triple: [Halluin, regionCode, FR-HDF]
Generated description
FR-HDF is the regional code for Hauts-de-France, an administrative region in northern France bordering Belgium and the English Channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FR-HDF
Target entity description: FR-HDF is the regional code for Hauts-de-France, an administrative region in northern France bordering Belgium and the English Channel.
  • A. HFDF
    HFDF is an abbreviation that can refer to various entities or terms, depending on the specific context in which it is used.
  • B. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • C. Hfd
    Hfd is the official station code used to identify Hoofddorp railway station in the Dutch rail network.
  • D. FRHG
    FRHG is the Romanian Ice Hockey Federation, the national governing body responsible for organizing and overseeing ice hockey activities and competitions in Romania.
  • E. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787c6bd708190a3693bd3925ac20f completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a07936634a08190a5e90b42f0b34b23 completed May 15, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0793efdfc08190a2ef81a86ca698c2 completed May 15, 2026, 9:45 p.m.
Created at: April 10, 2026, 1:45 p.m.