Triple
T2274843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaty |
E50745
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object |
ALA
ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
|
E251355
|
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: ALA | Statement: [Almaty, airportIATA, ALA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALA Context triple: [Almaty, airportIATA, ALA]
-
A.
ALA
ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
-
B.
Alabama
Alabama is a southeastern U.S. state known for its significant role in American history, diverse landscapes from Gulf Coast beaches to Appalachian foothills, and major contributions to industry, agriculture, and the civil rights movement.
-
C.
AL
AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
-
D.
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.
-
E.
Georgia
Georgia is a southeastern U.S. state known for its diverse landscapes, historic cities like Atlanta and Savannah, and significant roles in both the Civil War and the civil rights movement.
- 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: ALA Triple: [Almaty, airportIATA, ALA]
Generated description
ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ALA Target entity description: ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
-
A.
ALA
ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
-
B.
Alabama
Alabama is a southeastern U.S. state known for its significant role in American history, diverse landscapes from Gulf Coast beaches to Appalachian foothills, and major contributions to industry, agriculture, and the civil rights movement.
-
C.
AL
AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
-
D.
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.
-
E.
Georgia
Georgia is a southeastern U.S. state known for its diverse landscapes, historic cities like Atlanta and Savannah, and significant roles in both the Civil War and the civil rights movement.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ebaa148190851952567878b3a1 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e01860819082bca15c146b9c64 |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae727388f48190bbb516e1cc907689 |
completed | March 9, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae733c44008190ac1429da66cf77aa |
completed | March 9, 2026, 7:14 a.m. |
Created at: March 4, 2026, 7:48 p.m.