Triple
T5847498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buleleng Regency |
E129747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lovina
Lovina is a coastal tourist area in northern Bali, Indonesia, known for its black sand beaches, calm seas, and dolphin-watching tours.
|
E549761
|
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: Lovina | Statement: [Buleleng Regency, contains, Lovina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lovina Context triple: [Buleleng Regency, contains, Lovina]
-
A.
Progo River
Progo River is a major river in Central Java, Indonesia, flowing near the Borobudur Temple and eventually emptying into the Indian Ocean.
-
B.
Datardi River
The Datardi River is a watercourse flowing through the Gir region of Gujarat, India, contributing to the ecosystem that supports the area's renowned Asiatic lion population.
-
C.
Rispana River
Rispana River is a small but significant seasonal river flowing through Dehradun in Uttarakhand, India, that plays an important role in the city’s drainage and local ecology.
-
D.
Sangone
Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
-
E.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
- 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: Lovina Triple: [Buleleng Regency, contains, Lovina]
Generated description
Lovina is a coastal tourist area in northern Bali, Indonesia, known for its black sand beaches, calm seas, and dolphin-watching tours.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lovina Target entity description: Lovina is a coastal tourist area in northern Bali, Indonesia, known for its black sand beaches, calm seas, and dolphin-watching tours.
-
A.
Progo River
Progo River is a major river in Central Java, Indonesia, flowing near the Borobudur Temple and eventually emptying into the Indian Ocean.
-
B.
Datardi River
The Datardi River is a watercourse flowing through the Gir region of Gujarat, India, contributing to the ecosystem that supports the area's renowned Asiatic lion population.
-
C.
Rispana River
Rispana River is a small but significant seasonal river flowing through Dehradun in Uttarakhand, India, that plays an important role in the city’s drainage and local ecology.
-
D.
Sangone
Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
-
E.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03512d3548190920ac882189500d9 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1ad4d888190b4a1e605887b2e2c |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a27765688190b02a1b0cd39a87fe |
completed | March 23, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2fd7ec081909033994e5556a6ae |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:55 p.m.