Triple
T11015306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsa Matruh International Airport |
E260348
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
HEMM
HEMM is the ICAO airport code for Marsa Matruh International Airport, a civil and military airport serving the coastal city of Mersa Matruh in Egypt.
|
E900166
|
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: HEMM | Statement: [Marsa Matruh International Airport, ICAOcode, HEMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HEMM Context triple: [Marsa Matruh International Airport, ICAOcode, HEMM]
-
A.
Hem
Hem is a suburban commune in northern France located near the city of Lille.
-
B.
Hemiksem
Hemiksem is a municipality in the Belgian province of Antwerp, situated along the Rupel River and known for its historical abbey and industrial heritage.
-
C.
HEE
HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
-
D.
HHM
HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
E.
HEL
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
- 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: HEMM Triple: [Marsa Matruh International Airport, ICAOcode, HEMM]
Generated description
HEMM is the ICAO airport code for Marsa Matruh International Airport, a civil and military airport serving the coastal city of Mersa Matruh in Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HEMM Target entity description: HEMM is the ICAO airport code for Marsa Matruh International Airport, a civil and military airport serving the coastal city of Mersa Matruh in Egypt.
-
A.
Hem
Hem is a suburban commune in northern France located near the city of Lille.
-
B.
Hemiksem
Hemiksem is a municipality in the Belgian province of Antwerp, situated along the Rupel River and known for its historical abbey and industrial heritage.
-
C.
HEE
HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
-
D.
HHM
HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
E.
HEL
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a558a08190bdb5779faa9adf05 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.