Triple
T11648101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malabo International Airport |
E276828
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SSG
SSG is the IATA airport code for Malabo International Airport, the main international gateway to Equatorial Guinea’s capital city.
|
E938891
|
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: SSG | Statement: [Malabo International Airport, IATAcode, SSG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSG Context triple: [Malabo International Airport, IATAcode, SSG]
-
A.
SSG
SSG is the abbreviated name of the SSG Landers, a professional baseball team in South Korea’s KBO League.
-
B.
SSG-LS
SSG-LS is a specialized scientific body focused on coordinating and advancing international research in the life sciences.
-
C.
SSG.com
SSG.com is a South Korean e-commerce platform operated by Shinsegae Group, offering a wide range of online retail services including groceries, fashion, and household goods.
-
D.
SSBG
SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
-
E.
SS-Verfügungstruppe
The SS-Verfügungstruppe was the Nazi regime’s politically reliable, combat-ready SS military formation that served as a precursor to the Waffen-SS.
- 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: SSG Triple: [Malabo International Airport, IATAcode, SSG]
Generated description
SSG is the IATA airport code for Malabo International Airport, the main international gateway to Equatorial Guinea’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SSG Target entity description: SSG is the IATA airport code for Malabo International Airport, the main international gateway to Equatorial Guinea’s capital city.
-
A.
SSG
SSG is the abbreviated name of the SSG Landers, a professional baseball team in South Korea’s KBO League.
-
B.
SSG-LS
SSG-LS is a specialized scientific body focused on coordinating and advancing international research in the life sciences.
-
C.
SSG.com
SSG.com is a South Korean e-commerce platform operated by Shinsegae Group, offering a wide range of online retail services including groceries, fashion, and household goods.
-
D.
SSBG
SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
-
E.
SS-Verfügungstruppe
The SS-Verfügungstruppe was the Nazi regime’s politically reliable, combat-ready SS military formation that served as a precursor to the Waffen-SS.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87f903c48190b9055ad4cfebb1e1 |
completed | April 26, 2026, 9:47 p.m. |
| NEDg | Description generation | batch_69eeb314eef0819091a949bbfc820ee9 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9a79d348190bb3e15f0d37b9d57 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.