Triple
T15742418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene F. Correia International Airport |
E381632
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SYGO
SYGO is the ICAO airport code for Eugene F. Correia International Airport in Guyana.
|
E1173852
|
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: SYGO | Statement: [Eugene F. Correia International Airport, ICAOcode, SYGO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SYGO Context triple: [Eugene F. Correia International Airport, ICAOcode, SYGO]
-
A.
SOGEM
SOGEM is a regional West African organization responsible for operating and managing the Manantali Dam and its associated hydroelectric infrastructure.
-
B.
SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
-
C.
Suoy
Suoy is an indigenous Pearic-speaking ethnic group native to parts of Cambodia and neighboring regions in mainland Southeast Asia.
-
D.
Shigmo
Shigmo is a spring harvest and Holi-related folk festival celebrated with vibrant processions, traditional dances, and music in Goa and the Konkan region of India.
-
E.
GSOFG
GSOFG was the abbreviated designation for the Group of Soviet Occupation Forces in Germany, the Soviet military formation responsible for administering and controlling occupied East Germany after World War II.
- 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: SYGO Triple: [Eugene F. Correia International Airport, ICAOcode, SYGO]
Generated description
SYGO is the ICAO airport code for Eugene F. Correia International Airport in Guyana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SYGO Target entity description: SYGO is the ICAO airport code for Eugene F. Correia International Airport in Guyana.
-
A.
SOGEM
SOGEM is a regional West African organization responsible for operating and managing the Manantali Dam and its associated hydroelectric infrastructure.
-
B.
SGO
SGO is the professional medical society dedicated to advancing the prevention, research, and treatment of gynecologic cancers.
-
C.
Suoy
Suoy is an indigenous Pearic-speaking ethnic group native to parts of Cambodia and neighboring regions in mainland Southeast Asia.
-
D.
Shigmo
Shigmo is a spring harvest and Holi-related folk festival celebrated with vibrant processions, traditional dances, and music in Goa and the Konkan region of India.
-
E.
GSOFG
GSOFG was the abbreviated designation for the Group of Soviet Occupation Forces in Germany, the Soviet military formation responsible for administering and controlling occupied East Germany after World War II.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd97d6c8190b2fa6ca422bfe512 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff83056aa0819098b757ed125e61fe |
completed | May 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69ff83ca33d08190816130bf2ea735df |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8469354c819080b8cfddb7c66be5 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.