Triple
T15474664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luohe |
E376752
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
漯河市
漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
|
E1159280
|
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: 漯河市 | Statement: [Luohe, nativeName, 漯河市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 漯河市 Context triple: [Luohe, nativeName, 漯河市]
-
A.
平顶山
平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
-
B.
南阳
南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
-
C.
邯郸市
邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
-
D.
孝感
孝感 is a prefecture-level city in central China’s Hubei Province, known for its historical and cultural heritage and its proximity to Wuhan.
-
E.
Zhumadian
Zhumadian is a prefecture-level city in southern Henan Province, China, known as an important regional transport and agricultural hub.
- 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: 漯河市 Triple: [Luohe, nativeName, 漯河市]
Generated description
漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 漯河市 Target entity description: 漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
-
A.
平顶山
平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
-
B.
南阳
南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
-
C.
邯郸市
邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
-
D.
孝感
孝感 is a prefecture-level city in central China’s Hubei Province, known for its historical and cultural heritage and its proximity to Wuhan.
-
E.
Zhumadian
Zhumadian is a prefecture-level city in southern Henan Province, China, known as an important regional transport and agricultural hub.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d093ccc8190aefc355a837c83f4 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff3015ee2c8190ad2c28cd2850d903 |
completed | May 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff30ed9a5481909cefad0ef877a2e9 |
completed | May 9, 2026, 1:04 p.m. |
Created at: April 10, 2026, 3:34 a.m.