Triple

T2149360
Position Surface form Disambiguated ID Type / Status
Subject Port of Le Havre E47143 entity
Predicate hasPortCode P24997 FINISHED
Object FRLEH
FRLEH is the international port code identifying the major French seaport of Le Havre on the English Channel.
 E240059 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: FRLEH | Statement: [Port of Le Havre, hasPortCode, FRLEH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRLEH
Context triple: [Port of Le Havre, hasPortCode, FRLEH]
  • A. FRE
    FRE is the standard abbreviation used for the Fresno Grizzlies minor league baseball team.
  • B. FLAR
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • C. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FOIRL
    FOIRL (Fiber Optic Inter-Repeater Link) is an early Ethernet standard that used fiber-optic cabling to connect network repeaters over longer distances than copper-based links.
  • 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: FRLEH
Triple: [Port of Le Havre, hasPortCode, FRLEH]
Generated description
FRLEH is the international port code identifying the major French seaport of Le Havre on the English Channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRLEH
Target entity description: FRLEH is the international port code identifying the major French seaport of Le Havre on the English Channel.
  • A. FRE
    FRE is the standard abbreviation used for the Fresno Grizzlies minor league baseball team.
  • B. FLAR
    FLAR is a regional financial organization that provides balance-of-payments support, reserve pooling, and financial stability assistance to its Latin American member countries.
  • C. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FOIRL
    FOIRL (Fiber Optic Inter-Repeater Link) is an early Ethernet standard that used fiber-optic cabling to connect network repeaters over longer distances than copper-based links.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe44d2608190986467d43ee224d4 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dc0b608190b5c6aed5b6b034fd completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae599c6b288190b7e173ffc505c605 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a42675c8190a019034e8a6bda21 completed March 9, 2026, 5:27 a.m.
Created at: March 4, 2026, 7:44 p.m.