Triple
T11382266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubrovnik Airport |
E269624
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Čilipi Airport
Čilipi Airport is the main international airport serving Dubrovnik and the surrounding southern Dalmatian region of Croatia.
|
E922442
|
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: Čilipi Airport | Statement: [Dubrovnik Airport, alsoKnownAs, Čilipi Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čilipi Airport Context triple: [Dubrovnik Airport, alsoKnownAs, Čilipi Airport]
-
A.
Whenuapai Airport
Whenuapai Airport is a former Royal New Zealand Air Force base near Auckland that served as the city’s main international airport in the mid-20th century.
-
B.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
C.
Amausi Airport
Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
-
D.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
E.
Chachoán Airport
Chachoán Airport is a regional airport serving the city of Ambato in the central highlands of Ecuador.
- 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: Čilipi Airport Triple: [Dubrovnik Airport, alsoKnownAs, Čilipi Airport]
Generated description
Čilipi Airport is the main international airport serving Dubrovnik and the surrounding southern Dalmatian region of Croatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Čilipi Airport Target entity description: Čilipi Airport is the main international airport serving Dubrovnik and the surrounding southern Dalmatian region of Croatia.
-
A.
Whenuapai Airport
Whenuapai Airport is a former Royal New Zealand Air Force base near Auckland that served as the city’s main international airport in the mid-20th century.
-
B.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
C.
Amausi Airport
Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
-
D.
Panguilemo Airport
Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
-
E.
Chachoán Airport
Chachoán Airport is a regional airport serving the city of Ambato in the central highlands of Ecuador.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556a99c8c8190b7439a548216e648 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c8fb948190be87cca65c3b74e1 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56aaa5c9081909f89cfe6a8fc03f0 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 8, 2026, 9:34 p.m.