Triple
T9650225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kalimantan |
E233311
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Melawi
Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
|
E811850
|
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: Melawi | Statement: [West Kalimantan, hasCity, Melawi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melawi Context triple: [West Kalimantan, hasCity, Melawi]
-
A.
Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
-
B.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
C.
Sawu
Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
-
D.
Padang Dinka
Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
-
E.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese 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: Melawi Triple: [West Kalimantan, hasCity, Melawi]
Generated description
Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melawi Target entity description: Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
-
A.
Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
-
B.
Watampone
Watampone is the main urban and administrative center of Bone Regency in South Sulawesi, Indonesia.
-
C.
Sawu
Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
-
D.
Padang Dinka
Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
-
E.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9badd630819087fd844d7878ec61 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1826780fc81909c418e82bd94c581 |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d1836d683081908bccf970e4b0980b |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18412c4a08190bce431235e1102fc |
completed | April 4, 2026, 9:35 p.m. |
Created at: March 30, 2026, 8:13 p.m.