Triple
T13320760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Tiger Spring |
E317307
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Heihu Spring
Heihu Spring is a famous natural artesian spring in Jinan, China, renowned for its clear water and distinctive tiger-shaped stone outlet.
|
E1033672
|
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: Heihu Spring | Statement: [Black Tiger Spring, hasNickname, Heihu Spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heihu Spring Context triple: [Black Tiger Spring, hasNickname, Heihu Spring]
-
A.
Yuquan Mountain springs
Yuquan Mountain springs are natural freshwater sources in Beijing’s Western Hills that historically supplied the imperial gardens and lakes of the Summer Palace.
-
B.
Lushui
Lushui is a county-level city in Yunnan Province, China, known for its location along the Nujiang (Salween) River amid mountainous, ethnically diverse border regions.
-
C.
Green Dragon Spring
Green Dragon Spring is a vividly colored hot spring in Yellowstone National Park’s Norris Geyser Basin, known for its striking green waters and geothermal activity.
-
D.
태화강
태화강은 울산광역시를 중심으로 흐르며 생태공원과 국가정원으로 유명한 대한민국의 대표적인 하천이다.
-
E.
Chundangji Pond
Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
- 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: Heihu Spring Triple: [Black Tiger Spring, hasNickname, Heihu Spring]
Generated description
Heihu Spring is a famous natural artesian spring in Jinan, China, renowned for its clear water and distinctive tiger-shaped stone outlet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heihu Spring Target entity description: Heihu Spring is a famous natural artesian spring in Jinan, China, renowned for its clear water and distinctive tiger-shaped stone outlet.
-
A.
Yuquan Mountain springs
Yuquan Mountain springs are natural freshwater sources in Beijing’s Western Hills that historically supplied the imperial gardens and lakes of the Summer Palace.
-
B.
Lushui
Lushui is a county-level city in Yunnan Province, China, known for its location along the Nujiang (Salween) River amid mountainous, ethnically diverse border regions.
-
C.
Green Dragon Spring
Green Dragon Spring is a vividly colored hot spring in Yellowstone National Park’s Norris Geyser Basin, known for its striking green waters and geothermal activity.
-
D.
태화강
태화강은 울산광역시를 중심으로 흐르며 생태공원과 국가정원으로 유명한 대한민국의 대표적인 하천이다.
-
E.
Chundangji Pond
Chundangji Pond is a scenic historic pond and garden feature located within Changgyeonggung Palace in Seoul, South Korea.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992ab83c8190982d9f54dff6919f |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:30 p.m.