Triple
T1054922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinjiang |
E22779
|
entity |
| Predicate | containsLake |
P1025
|
FINISHED |
| Object |
Ebinur Lake
Ebinur Lake is a saline endorheic lake in northwest China known for its fluctuating water levels, high salinity, and importance as a habitat for migratory birds.
|
E134047
|
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: Ebinur Lake | Statement: [Xinjiang, containsLake, Ebinur Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebinur Lake Context triple: [Xinjiang, containsLake, Ebinur Lake]
-
A.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
B.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
C.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
D.
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
E.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
- 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: Ebinur Lake Triple: [Xinjiang, containsLake, Ebinur Lake]
Generated description
Ebinur Lake is a saline endorheic lake in northwest China known for its fluctuating water levels, high salinity, and importance as a habitat for migratory birds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebinur Lake Target entity description: Ebinur Lake is a saline endorheic lake in northwest China known for its fluctuating water levels, high salinity, and importance as a habitat for migratory birds.
-
A.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
B.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
C.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
D.
Benya Lagoon
Benya Lagoon is a coastal lagoon in Elmina, Ghana, known for its fishing activities and proximity to the historic Elmina Castle.
-
E.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66224db481909318add535721977 |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac66d7aef881909f5bb83b4563c581 |
completed | March 7, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac676cb9a08190a83d47de80126677 |
completed | March 7, 2026, 5:59 p.m. |
Created at: March 1, 2026, 7:42 p.m.