Triple

T2909854
Position Surface form Disambiguated ID Type / Status
Subject Global Tropics Hazards Outlook E63654 entity
Predicate acronym P43 FINISHED
Object GTHO
GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
 E309227 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: GTHO | Statement: [Global Tropics Hazards Outlook, acronym, GTHO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GTHO
Context triple: [Global Tropics Hazards Outlook, acronym, GTHO]
  • A. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • B. GCH
    GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
  • C. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • D. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. KSGH
    KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • 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: GTHO
Triple: [Global Tropics Hazards Outlook, acronym, GTHO]
Generated description
GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GTHO
Target entity description: GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • A. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • B. GCH
    GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
  • C. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • D. GÖ
    GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
  • E. KSGH
    KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0e899808190a348e1e71116d0a5 completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0561b8e6c8190be69fd39bdd19cca completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b060ac7c58819081f0882170869a8e completed March 10, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69b0619540cc8190971cd1a4c5c4b309 completed March 10, 2026, 6:23 p.m.
Created at: March 6, 2026, 10:11 p.m.