Triple

T7706797
Position Surface form Disambiguated ID Type / Status
Subject Galena, Alaska E174638 entity
Predicate hasIATAAirportCode P2569 FINISHED
Object GAL
GAL is the IATA airport code for the public airport serving Galena, a remote community in Alaska.
 E683288 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: GAL | Statement: [Galena, Alaska, hasIATAAirportCode, GAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAL
Context triple: [Galena, Alaska, hasIATAAirportCode, GAL]
  • A. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • B. GL
    GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • C. GL
    GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. Galo
    The Galo are an indigenous tribal community of Arunachal Pradesh in Northeast India, known for their distinct language, traditional festivals, and agrarian lifestyle.
  • 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: GAL
Triple: [Galena, Alaska, hasIATAAirportCode, GAL]
Generated description
GAL is the IATA airport code for the public airport serving Galena, a remote community in Alaska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAL
Target entity description: GAL is the IATA airport code for the public airport serving Galena, a remote community in Alaska.
  • A. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • B. GL
    GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • C. GL
    GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
  • D. GRA
    GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
  • E. Galo
    The Galo are an indigenous tribal community of Arunachal Pradesh in Northeast India, known for their distinct language, traditional festivals, and agrarian lifestyle.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702a93f288190a53bbe6620417528 completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acc48708819082d58218eb753327 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8ae258a7081909bd30259a368d865 completed March 29, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69c8aebc46e481908872d0c4c77345b5 completed March 29, 2026, 4:46 a.m.
Created at: March 27, 2026, 4:04 p.m.