Triple
T6841253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciwidey |
E157776
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Rancabali
Rancabali is a highland area in West Java, Indonesia, known for its tea plantations, cool climate, and natural tourist attractions such as lakes and hot springs.
|
E624842
|
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: Rancabali | Statement: [Ciwidey, near, Rancabali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rancabali Context triple: [Ciwidey, near, Rancabali]
-
A.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Khowai
Khowai is a town in the northeastern Indian state of Tripura, known as an administrative and commercial center for the surrounding region.
-
C.
Kalama River
The Kalama River is a tributary of the Columbia River in southwestern Washington State, known for its scenic forested course and popular salmon and steelhead fishing.
-
D.
Bohtan River
The Bohtan River is a significant watercourse in southeastern Turkey that flows through rugged, mountainous terrain before joining the Tigris River.
-
E.
Lovina
Lovina is a coastal tourist area in northern Bali, Indonesia, known for its black sand beaches, calm seas, and dolphin-watching tours.
- 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: Rancabali Triple: [Ciwidey, near, Rancabali]
Generated description
Rancabali is a highland area in West Java, Indonesia, known for its tea plantations, cool climate, and natural tourist attractions such as lakes and hot springs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rancabali Target entity description: Rancabali is a highland area in West Java, Indonesia, known for its tea plantations, cool climate, and natural tourist attractions such as lakes and hot springs.
-
A.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Khowai
Khowai is a town in the northeastern Indian state of Tripura, known as an administrative and commercial center for the surrounding region.
-
C.
Kalama River
The Kalama River is a tributary of the Columbia River in southwestern Washington State, known for its scenic forested course and popular salmon and steelhead fishing.
-
D.
Bohtan River
The Bohtan River is a significant watercourse in southeastern Turkey that flows through rugged, mountainous terrain before joining the Tigris River.
-
E.
Lovina
Lovina is a coastal tourist area in northern Bali, Indonesia, known for its black sand beaches, calm seas, and dolphin-watching tours.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b4a1f88190b4f532828697fbd8 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74271b9dc8190abbe3b1f9819c38f |
completed | March 28, 2026, 2:52 a.m. |
| NEDg | Description generation | batch_69c7435af2b481908e06b3ec72dae7da |
completed | March 28, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7443919ec819089040e50462864d1 |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:19 p.m.