Triple
T13914799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hainan Airlines |
E334592
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
HAINAN
HAINAN is the radio callsign used by Hainan Airlines for air traffic control and aviation communications.
|
E1069068
|
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: HAINAN | Statement: [Hainan Airlines, callsign, HAINAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAINAN Context triple: [Hainan Airlines, callsign, HAINAN]
-
A.
Hainan
Hainan is a tropical island province in southern China known for its beaches, tourism, and status as a major special economic zone.
-
B.
Hainan Hlai
Hainan Hlai is a Kra–Dai language spoken primarily by the Li (Hlai) ethnic group on China’s Hainan Island.
-
C.
Lingshui
Lingshui is a coastal county-level city in southeastern Hainan, China, known for its tropical climate, beaches, and growing tourism industry.
-
D.
Wenchang
Wenchang is a coastal city in northeastern Hainan, China, known as a cultural center and important homeland of many overseas Chinese.
-
E.
Hainan Special Economic Zone
Hainan Special Economic Zone is a major Chinese free-trade and investment zone encompassing the entire island province of Hainan, established to promote market-oriented economic reforms and international commerce.
- 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: HAINAN Triple: [Hainan Airlines, callsign, HAINAN]
Generated description
HAINAN is the radio callsign used by Hainan Airlines for air traffic control and aviation communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAINAN Target entity description: HAINAN is the radio callsign used by Hainan Airlines for air traffic control and aviation communications.
-
A.
Hainan
Hainan is a tropical island province in southern China known for its beaches, tourism, and status as a major special economic zone.
-
B.
Hainan Hlai
Hainan Hlai is a Kra–Dai language spoken primarily by the Li (Hlai) ethnic group on China’s Hainan Island.
-
C.
Lingshui
Lingshui is a coastal county-level city in southeastern Hainan, China, known for its tropical climate, beaches, and growing tourism industry.
-
D.
Wenchang
Wenchang is a coastal city in northeastern Hainan, China, known as a cultural center and important homeland of many overseas Chinese.
-
E.
Hainan Special Economic Zone
Hainan Special Economic Zone is a major Chinese free-trade and investment zone encompassing the entire island province of Hainan, established to promote market-oriented economic reforms and international commerce.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72a345481908f8552bca7bb1a5a |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c8d477f881908f8cfd2783e7f10f |
completed | May 3, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ca27ffd4819080bccd6bfd88ddb3 |
completed | May 3, 2026, 10:20 p.m. |
Created at: April 9, 2026, 10:16 p.m.