Triple
T4293125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oğuzeli Airport |
E99642
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LTAJ
LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
|
E429798
|
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: LTAJ | Statement: [Oğuzeli Airport, ICAOcode, LTAJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTAJ Context triple: [Oğuzeli Airport, ICAOcode, LTAJ]
-
A.
LAA
LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
-
B.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
C.
JLT
JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
-
D.
LAT
LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
-
E.
LAT
LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
- 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: LTAJ Triple: [Oğuzeli Airport, ICAOcode, LTAJ]
Generated description
LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTAJ Target entity description: LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
-
A.
LAA
LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
-
B.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
-
C.
JLT
JLT is a large mixed-use waterfront district in Dubai known for its high-rise residential and commercial towers clustered around artificial lakes.
-
D.
LAT
LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
-
E.
LAT
LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35082228081908504e3fd7c4ca1e8 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c739df2c8190af6f8d9bf36afca8 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5cb0529f881908ec004a07c47306e |
completed | March 14, 2026, 8:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5cba3a41481908622509478184052 |
completed | March 14, 2026, 8:57 p.m. |
Created at: March 12, 2026, 11:08 p.m.