Triple
T6894549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MF |
E159137
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | XiamenAir |
E30720
|
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: XiamenAir | Statement: [MF, assignedTo, XiamenAir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XiamenAir Context triple: [MF, assignedTo, XiamenAir]
-
A.
XiamenAir
chosen
XiamenAir is a Chinese airline based in Xiamen that operates domestic and international flights across Asia and beyond.
-
B.
Hainan Airlines
Hainan Airlines is a major Chinese airline headquartered in Haikou, known for its extensive domestic and international route network and high service quality ratings.
-
C.
Kunming Airlines
Kunming Airlines is a Chinese domestic carrier based in Kunming, Yunnan Province, operating passenger and cargo services to destinations across China.
-
D.
Shanghai Airlines
Shanghai Airlines is a Chinese airline based in Shanghai that operates domestic and international passenger flights as a subsidiary of China Eastern Airlines.
-
E.
Shenzhen Airlines
Shenzhen Airlines is a major Chinese carrier based in Shenzhen that operates extensive domestic and regional flights across Asia.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d931da24819096b9b205f2c0ebb0 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748db2bd48190bb26f60c58ec8229 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:24 p.m.