Triple
T2451321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Hōshō |
E53710
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
鳳翔
鳳翔 was the Imperial Japanese Navy’s Hōshō, the world’s first purpose-built aircraft carrier to enter service.
|
E267612
|
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: 鳳翔 | Statement: [Japanese aircraft carrier Hōshō, nativeName, 鳳翔]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鳳翔 Context triple: [Japanese aircraft carrier Hōshō, nativeName, 鳳翔]
-
A.
Shangluo
Shangluo is a prefecture-level city in southeastern Shaanxi, China, known for its mountainous terrain, rich natural resources, and historical sites.
-
B.
Hanzhong
Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
-
C.
Weinan
Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
-
D.
Baoji
Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
-
E.
Yulin
Yulin is a prefecture-level city in northern China known for its coal resources and location on the Loess Plateau near the border with Inner Mongolia.
- 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: 鳳翔 Triple: [Japanese aircraft carrier Hōshō, nativeName, 鳳翔]
Generated description
鳳翔 was the Imperial Japanese Navy’s Hōshō, the world’s first purpose-built aircraft carrier to enter service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 鳳翔 Target entity description: 鳳翔 was the Imperial Japanese Navy’s Hōshō, the world’s first purpose-built aircraft carrier to enter service.
-
A.
Shangluo
Shangluo is a prefecture-level city in southeastern Shaanxi, China, known for its mountainous terrain, rich natural resources, and historical sites.
-
B.
Hanzhong
Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
-
C.
Weinan
Weinan is a prefecture-level city in eastern Shaanxi Province, China, known for its historical sites and location near the Wei River.
-
D.
Baoji
Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
-
E.
Yulin
Yulin is a prefecture-level city in northern China known for its coal resources and location on the Loess Plateau near the border with Inner Mongolia.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c2a7b08190beb27f6a83208e5c |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef5de0e4c8190af460b7e2fb2a5eb |
completed | March 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef68a6a18819097876fea0120103b |
completed | March 9, 2026, 4:34 p.m. |
Created at: March 6, 2026, 9:43 p.m.