Triple
T6470304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaza Airport |
E142331
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
HEAZ
HEAZ is the ICAO airport code for Almaza Airport, a military and general aviation airfield serving Cairo, Egypt.
|
E596328
|
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: HEAZ | Statement: [Almaza Airport, hasICAOCode, HEAZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HEAZ Context triple: [Almaza Airport, hasICAOCode, HEAZ]
-
A.
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.
-
B.
HEIA
HEIA is the stock ticker symbol for Heineken N.V., the multinational Dutch brewing company best known for its Heineken beer brand.
-
C.
HAJ
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
-
D.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
-
E.
EH
EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
- 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: HEAZ Triple: [Almaza Airport, hasICAOCode, HEAZ]
Generated description
HEAZ is the ICAO airport code for Almaza Airport, a military and general aviation airfield serving Cairo, Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HEAZ Target entity description: HEAZ is the ICAO airport code for Almaza Airport, a military and general aviation airfield serving Cairo, Egypt.
-
A.
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.
-
B.
HEIA
HEIA is the stock ticker symbol for Heineken N.V., the multinational Dutch brewing company best known for its Heineken beer brand.
-
C.
HAJ
HAJ is the three-letter IATA airport code for Hannover Airport in Hanover, Germany.
-
D.
HAF
HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
-
E.
EH
EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2e896481908ed004e3b0a33121 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6539c93c481909bed35b68ce420d8 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6559d06c8819082cad37d62fcb3a3 |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6564e01748190a3a12abcc0dfd30f |
completed | March 27, 2026, 10:05 a.m. |
Created at: March 22, 2026, 4:50 p.m.