Triple
T13303496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiqihar |
E316873
|
entity |
| Predicate | administrativeDivisionOf |
P747
|
FINISHED |
| Object |
Longsha District
Longsha District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
|
E1079018
|
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: Longsha District | Statement: [Qiqihar, administrativeDivisionOf, Longsha District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longsha District Context triple: [Qiqihar, administrativeDivisionOf, Longsha District]
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Shunqing District
Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
-
C.
Lucheng District
Lucheng District is the central urban district and administrative, commercial, and cultural core of Wenzhou in Zhejiang Province, China.
-
D.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
E.
Yushui District
Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, China.
- 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: Longsha District Triple: [Qiqihar, administrativeDivisionOf, Longsha District]
Generated description
Longsha District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longsha District Target entity description: Longsha District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern China.
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Shunqing District
Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
-
C.
Lucheng District
Lucheng District is the central urban district and administrative, commercial, and cultural core of Wenzhou in Zhejiang Province, China.
-
D.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
E.
Yushui District
Yushui District is the central urban district and administrative seat of Xinyu, a prefecture-level city in Jiangxi Province, China.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08698e0819084f3098d471e7dc9 |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd176632c8190aa7dee337688b043 |
completed | May 7, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd28c1f0c819083b934a6afd656bf |
completed | May 7, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:28 p.m.