Triple
T20099941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Sumbawa Regency |
E496506
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Taliwang
Taliwang is a town on the island of Sumbawa in Indonesia, known as an administrative center and for its spicy grilled chicken dish, ayam Taliwang.
|
E1411025
|
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: Taliwang | Statement: [West Sumbawa Regency, capital, Taliwang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taliwang Context triple: [West Sumbawa Regency, capital, Taliwang]
-
A.
Sarangkot
Sarangkot is a popular hilltop viewpoint near Pokhara in Nepal, renowned for its panoramic sunrise views of the Annapurna mountain range and the city below.
-
B.
Saligao
Saligao is a village in the Indian state of Goa, known for its scenic countryside, traditional Goan homes, and prominent parish church.
-
C.
Sanaur
Sanaur is a village located in the Patiala district of the Indian state of Punjab.
-
D.
Tanjung Cho
Tanjung Cho is one of the high-altitude glacial lakes in the Gokyo Lakes system of Nepal’s Everest region, known for its striking turquoise waters and dramatic Himalayan surroundings.
-
E.
Tanjung Aan
Tanjung Aan is a scenic white-sand beach and popular coastal tourist destination on the southern coast of Lombok, Indonesia.
- 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: Taliwang Triple: [West Sumbawa Regency, capital, Taliwang]
Generated description
Taliwang is a town on the island of Sumbawa in Indonesia, known as an administrative center and for its spicy grilled chicken dish, ayam Taliwang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taliwang Target entity description: Taliwang is a town on the island of Sumbawa in Indonesia, known as an administrative center and for its spicy grilled chicken dish, ayam Taliwang.
-
A.
Sarangkot
Sarangkot is a popular hilltop viewpoint near Pokhara in Nepal, renowned for its panoramic sunrise views of the Annapurna mountain range and the city below.
-
B.
Saligao
Saligao is a village in the Indian state of Goa, known for its scenic countryside, traditional Goan homes, and prominent parish church.
-
C.
Sanaur
Sanaur is a village located in the Patiala district of the Indian state of Punjab.
-
D.
Tanjung Cho
Tanjung Cho is one of the high-altitude glacial lakes in the Gokyo Lakes system of Nepal’s Everest region, known for its striking turquoise waters and dramatic Himalayan surroundings.
-
E.
Tanjung Aan
Tanjung Aan is a scenic white-sand beach and popular coastal tourist destination on the southern coast of Lombok, Indonesia.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270edd6481909230ece4487f93fd |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0827c6a68c8190aed2d531b4fd2030 |
completed | May 16, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 11, 2026, 11:26 p.m.