Triple
T12525618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oral |
E299430
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Oral Ak Zhol Airport |
E877889
|
NE FINISHED |
How this triple was built (2 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: Oral Ak Zhol Airport | Statement: [Oral, hasAirport, Oral Ak Zhol Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oral Ak Zhol Airport Context triple: [Oral, hasAirport, Oral Ak Zhol Airport]
-
A.
Oral Ak Zhol Airport
chosen
Oral Ak Zhol Airport is the main commercial airport serving the city of Oral (Uralsk) in western Kazakhstan.
-
B.
Almaza Airport
Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
-
C.
Zaqatala International Airport
Zaqatala International Airport is a regional civil airport in northwestern Azerbaijan that serves the town of Zaqatala and the surrounding area.
-
D.
Sary-Arka Airport
Sary-Arka Airport is the main international airport serving the city of Karaganda in central Kazakhstan.
-
E.
Arxan Yi'ershi Airport
Arxan Yi'ershi Airport is a regional civil airport serving the Arxan area in Inner Mongolia, China, providing air connectivity for the Hinggan League region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545d7e6c819080c3a85c18caa1ae |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685d8c64819088db715d7552d18d |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:57 p.m.