Triple

T15243993
Position Surface form Disambiguated ID Type / Status
Subject Hammerfest Airport E364330 entity
Predicate ICAOcode P419 FINISHED
Object ENHF
ENHF is the ICAO airport code assigned to Hammerfest Airport in Norway.
 E1145519 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: ENHF | Statement: [Hammerfest Airport, ICAOcode, ENHF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENHF
Context triple: [Hammerfest Airport, ICAOcode, ENHF]
  • A. ENF
    ENF is a former right-wing to far-right political group in the European Parliament composed of nationalist and Eurosceptic parties from various EU member states.
  • B. HEF
    HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
  • C. HEF
    HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
  • D. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • E. EHE
    EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
  • 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: ENHF
Triple: [Hammerfest Airport, ICAOcode, ENHF]
Generated description
ENHF is the ICAO airport code assigned to Hammerfest Airport in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENHF
Target entity description: ENHF is the ICAO airport code assigned to Hammerfest Airport in Norway.
  • A. ENF
    ENF is a former right-wing to far-right political group in the European Parliament composed of nationalist and Eurosceptic parties from various EU member states.
  • B. HEF
    HEF is the FAA location identifier for Manassas Regional Airport in Virginia, a public airport serving general aviation and regional air traffic.
  • C. HEF
    HEF is the German vehicle registration code assigned to the district of Hersfeld-Rotenburg, centered around the town of Bad Hersfeld in Hesse.
  • D. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • E. EHE
    EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f306f08190be448b215d6c9b6c completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd461cf08190a506aac2f0cec83a completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.