Triple
T6686243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melilla Airport |
E152104
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
GEML
GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
|
E611960
|
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: GEML | Statement: [Melilla Airport, ICAOcode, GEML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEML Context triple: [Melilla Airport, ICAOcode, GEML]
-
A.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
B.
GeMS
GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
-
C.
GEM 63XL
The GEM 63XL is a solid rocket booster developed by Northrop Grumman to provide additional thrust for United Launch Alliance’s next-generation Vulcan launch vehicle.
-
D.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
E.
INGEMMET
INGEMMET is Peru’s national geological, mining, and metallurgical institute responsible for studying and monitoring the country’s geological hazards and mineral resources.
- 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: GEML Triple: [Melilla Airport, ICAOcode, GEML]
Generated description
GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEML Target entity description: GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
-
A.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
B.
GeMS
GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
-
C.
GEM 63XL
The GEM 63XL is a solid rocket booster developed by Northrop Grumman to provide additional thrust for United Launch Alliance’s next-generation Vulcan launch vehicle.
-
D.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
E.
INGEMMET
INGEMMET is Peru’s national geological, mining, and metallurgical institute responsible for studying and monitoring the country’s geological hazards and mineral resources.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14cd6748190aad4badd5f253478 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b0c0148190a232ed10950ec92b |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f84621988190a3502dff9ee6296d |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8f694f48190a6bb380b0ca583bf |
completed | March 27, 2026, 9:39 p.m. |
Created at: March 27, 2026, 2:04 p.m.