Triple
T12548448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chita |
E300031
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Kadala Airport
Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
|
E1017288
|
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: Kadala Airport | Statement: [Chita, hasAirport, Kadala Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadala Airport Context triple: [Chita, hasAirport, Kadala Airport]
-
A.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
B.
Kalemie Airport
Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
-
C.
Dumna Airport
Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
-
D.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
E.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
- 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: Kadala Airport Triple: [Chita, hasAirport, Kadala Airport]
Generated description
Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kadala Airport Target entity description: Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
-
A.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
-
B.
Kalemie Airport
Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
-
C.
Dumna Airport
Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
-
D.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
E.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95481ba28819099f7cd2de02e8837 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb096d881908dfd2a7126632d96 |
completed | May 3, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69f6cd3d5090819091b65f544ad139fd |
completed | May 3, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cdc8d52c819083717a455d589646 |
completed | May 3, 2026, 4:23 a.m. |
Created at: April 8, 2026, 9:58 p.m.