Triple
T18923964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATCvet |
E462929
|
entity |
| Predicate | hasTopLevelGroup |
P10571
|
FINISHED |
| Object | QZ |
—
|
NE NERFINISHED |
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: QZ | Statement: [ATCvet, hasTopLevelGroup, QZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QZ Context triple: [ATCvet, hasTopLevelGroup, QZ]
-
A.
QZ
chosen
QZ is the IATA airline designator used for AirAsia Indonesia, a low-cost carrier based in Indonesia.
-
B.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
C.
Kz
Kz is the currency symbol for the Angolan kwanza, the official monetary unit of Angola.
-
D.
KQ
KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
-
E.
GZQ
GZQ is the station code used to identify Guangzhou Railway Station, a major rail transport hub in Guangzhou, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b549448190850d7eed4de7872b |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.