Triple
T21948774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou Xinzheng International Airport |
E542005
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | 9 Air |
—
|
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: 9 Air | Statement: [Zhengzhou Xinzheng International Airport, focusCityFor, 9 Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 9 Air Context triple: [Zhengzhou Xinzheng International Airport, focusCityFor, 9 Air]
-
A.
9 Air
chosen
9 Air is a Chinese low-cost airline based in Guangzhou that operates domestic and regional passenger flights.
-
B.
AIR (SC)
AIR (SC) is a widely cited Indian law report series that publishes authoritative judgments of the Supreme Court of India.
-
C.
L’Air
L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
-
D.
Actual Air
Actual Air is a critically acclaimed 1999 poetry collection by David Berman, known for its surreal, witty, and emotionally resonant lyricism.
-
E.
Aero
Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243a2f788190bd4625fa79888696 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.