Triple
T16080629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galkayo Airport |
E390098
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
HCMG
HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
|
E1193113
|
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: HCMG | Statement: [Galkayo Airport, ICAOCode, HCMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HCMG Context triple: [Galkayo Airport, ICAOCode, HCMG]
-
A.
HMG
HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
-
B.
HCM
HCM is the commonly used abbreviation for the High Court of Manipur, the highest judicial authority in the Indian state of Manipur.
-
C.
HLCM
HLCM is the High-level Committee on Management, a senior coordination body within the United Nations system that focuses on management and administrative issues across UN organizations.
-
D.
HCFG
HCFG is the commonly used abbreviation for HC Fribourg-Gottéron, a professional ice hockey club based in Fribourg, Switzerland.
-
E.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
- 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: HCMG Triple: [Galkayo Airport, ICAOCode, HCMG]
Generated description
HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HCMG Target entity description: HCMG is the ICAO airport code assigned to Galkayo Airport in Somalia.
-
A.
HMG
HMG is the common abbreviation for His Majesty’s Government, the central executive authority of the United Kingdom responsible for national policy and administration.
-
B.
HCM
HCM is the commonly used abbreviation for the High Court of Manipur, the highest judicial authority in the Indian state of Manipur.
-
C.
HLCM
HLCM is the High-level Committee on Management, a senior coordination body within the United Nations system that focuses on management and administrative issues across UN organizations.
-
D.
HCFG
HCFG is the commonly used abbreviation for HC Fribourg-Gottéron, a professional ice hockey club based in Fribourg, Switzerland.
-
E.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844a5c68819086a13c93a787b436 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48adec081909623355eabee472c |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe6af1c4081908b57f4dc485fbb14 |
completed | May 10, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe769d56081908f723e92d327e315 |
completed | May 10, 2026, 2:03 a.m. |
Created at: April 10, 2026, 4:57 a.m.