Triple
T12411053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayseri Erkilet Airport |
E296513
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LTAU
LTAU is the ICAO airport code for Kayseri Erkilet Airport, a civil-military airport serving the city of Kayseri in central Turkey.
|
E982600
|
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: LTAU | Statement: [Kayseri Erkilet Airport, ICAOcode, LTAU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTAU Context triple: [Kayseri Erkilet Airport, ICAOcode, LTAU]
-
A.
LTAZ
LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
-
B.
LTAJ
LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
-
C.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
D.
LTAN
LTAN is the ICAO airport code assigned to Konya Airport in Konya, Turkey.
-
E.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
- 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: LTAU Triple: [Kayseri Erkilet Airport, ICAOcode, LTAU]
Generated description
LTAU is the ICAO airport code for Kayseri Erkilet Airport, a civil-military airport serving the city of Kayseri in central Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTAU Target entity description: LTAU is the ICAO airport code for Kayseri Erkilet Airport, a civil-military airport serving the city of Kayseri in central Turkey.
-
A.
LTAZ
LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
-
B.
LTAJ
LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
-
C.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
D.
LTAN
LTAN is the ICAO airport code assigned to Konya Airport in Konya, Turkey.
-
E.
LTAC
LTAC is the ICAO airport code for Esenboğa International Airport, the main airport serving Ankara, Turkey.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348af5a8819083a075d145b15fd4 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f638cbb6dc8190a80ffe3430337855 |
completed | May 2, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6397a3458819095b94ae7f9d5f106 |
completed | May 2, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:55 p.m.