Triple
T30150957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄浦江 |
E766392
|
entity |
| Predicate | 源头 |
P409
|
FINISHED |
| Object |
淀山湖
淀山湖是位于中国上海与江苏交界处的一座大型淡水湖泊,以风景优美和重要的水源与防洪功能而闻名。
|
E1900514
|
NE FINISHED |
How this triple was built (3 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: 淀山湖 | Statement: [黄浦江, 源头, 淀山湖]
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: 淀山湖 Triple: [黄浦江, 源头, 淀山湖]
Generated description
淀山湖是位于中国上海与江苏交界处的一座大型淡水湖泊,以风景优美和重要的水源与防洪功能而闻名。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 源头 Context triple: [黄浦江, 源头, 淀山湖]
-
A.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
B.
originSite
Indicates the place or site from which something or someone originally comes or is derived.
-
C.
ingredientOrigin
Indicates that an ingredient comes from, is sourced in, or originates from a particular place or source.
-
D.
collectionOrigin
Indicates that one entity is the source, provenance, or originating context from which a collection of items or data has been derived or assembled.
-
E.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
- F. None of above.
Provenance (6 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed4297c81909062f19b7795f181 |
completed | May 2, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a274cbe754881908b6dcfc7314ce886 |
completed | June 8, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a274d8dff508190b211a92328716611 |
completed | June 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a274e7121b48190aa93319acbc9df5f |
completed | June 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:20 p.m.