Triple
T18464961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donetsk Sergey Prokofiev International Airport |
E451135
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DOK
DOK is the IATA airport code for Donetsk Sergey Prokofiev International Airport in eastern Ukraine.
|
E1326179
|
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: DOK | Statement: [Donetsk Sergey Prokofiev International Airport, IATAcode, DOK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DOK Context triple: [Donetsk Sergey Prokofiev International Airport, IATAcode, DOK]
-
A.
Dok
Dok is an ancient location associated with the Hasmonean leader Simon Thassi, known primarily as the site of his assassination.
-
B.
DOKOM
DOKOM is the radio callsign used by Flyadeal, a Saudi low-cost airline based in Jeddah.
-
C.
Dokk1
Dokk1 is a large modern public library and cultural center on Aarhus’s waterfront, known as one of the city’s key architectural and civic landmarks.
-
D.
Dokki
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
E.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
- 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: DOK Triple: [Donetsk Sergey Prokofiev International Airport, IATAcode, DOK]
Generated description
DOK is the IATA airport code for Donetsk Sergey Prokofiev International Airport in eastern Ukraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DOK Target entity description: DOK is the IATA airport code for Donetsk Sergey Prokofiev International Airport in eastern Ukraine.
-
A.
Dok
Dok is an ancient location associated with the Hasmonean leader Simon Thassi, known primarily as the site of his assassination.
-
B.
DOKOM
DOKOM is the radio callsign used by Flyadeal, a Saudi low-cost airline based in Jeddah.
-
C.
Dokk1
Dokk1 is a large modern public library and cultural center on Aarhus’s waterfront, known as one of the city’s key architectural and civic landmarks.
-
D.
Dokki
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
E.
DOCO
DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a82920081909b2b89125db5982a |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f22b680819087c837c9ca87ce4b |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a043fc897408190ac2f6625ce23c93d |
completed | May 13, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a044095d4b48190aeb30ecb37609da3 |
completed | May 13, 2026, 9:12 a.m. |
Created at: April 10, 2026, 11:33 a.m.