Triple
T2899743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houari Boumediene Airport |
E62626
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
ALG
ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
|
E307859
|
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: ALG | Statement: [Houari Boumediene Airport, IATAcode, ALG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALG Context triple: [Houari Boumediene Airport, IATAcode, ALG]
-
A.
ALP
ALP is the commonly used abbreviation for Bolivia’s Plurinational Legislative Assembly, the country’s national bicameral legislature.
-
B.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
C.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
D.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
E.
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
- 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: ALG Triple: [Houari Boumediene Airport, IATAcode, ALG]
Generated description
ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ALG Target entity description: ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
-
A.
ALP
ALP is the commonly used abbreviation for Bolivia’s Plurinational Legislative Assembly, the country’s national bicameral legislature.
-
B.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
C.
ALO
ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
D.
ALO
ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
-
E.
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0ad7bbc8190822738baa6935b74 |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0318c544881909f6aabfb2d25e724 |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b038fdc7e881909dd0b6fd4f692e4a |
completed | March 10, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03bca591c81908b3734cc8f2e712b |
completed | March 10, 2026, 3:42 p.m. |
Created at: March 6, 2026, 10:10 p.m.