Triple
T16259921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sipiso-piso Waterfall |
E394726
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Tongging
Tongging is a village in North Sumatra, Indonesia, known as a scenic gateway to Lake Toba and the nearby Sipiso-piso Waterfall.
|
E1201703
|
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: Tongging | Statement: [Sipiso-piso Waterfall, locatedNear, Tongging]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tongging Context triple: [Sipiso-piso Waterfall, locatedNear, Tongging]
-
A.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
B.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
Bingchang
Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
-
E.
Chinju
Chinju (often spelled Jinju) is a city in South Gyeongsang Province, South Korea, known for its historic fortress, Namgang Yudeung (Lantern) Festival, and rich cultural heritage.
- 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: Tongging Triple: [Sipiso-piso Waterfall, locatedNear, Tongging]
Generated description
Tongging is a village in North Sumatra, Indonesia, known as a scenic gateway to Lake Toba and the nearby Sipiso-piso Waterfall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tongging Target entity description: Tongging is a village in North Sumatra, Indonesia, known as a scenic gateway to Lake Toba and the nearby Sipiso-piso Waterfall.
-
A.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
B.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
Bingchang
Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
-
E.
Chinju
Chinju (often spelled Jinju) is a city in South Gyeongsang Province, South Korea, known for its historic fortress, Namgang Yudeung (Lantern) Festival, and rich cultural heritage.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3082c8190a1c9f92b255fdbb6 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eee110c819088d99b80435ab70b |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f7e6338819099598bc22d31cd22 |
completed | May 10, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001025300c819084933d9c6d19fe97 |
completed | May 10, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:04 a.m.