Triple
T2942862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Sulawesi |
E79427
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Parepare
Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
|
E316621
|
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: Parepare | Statement: [South Sulawesi, hasCity, Parepare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parepare Context triple: [South Sulawesi, hasCity, Parepare]
-
A.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
-
B.
Palu
Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
-
C.
Makassar
Makassar is a major port city on the southwest coast of Sulawesi known historically as a key maritime trading hub in eastern Indonesia.
-
D.
Maros Regency
Maros Regency is an administrative region in Indonesia known for its karst landscapes, caves, and proximity to the provincial capital of Makassar in South Sulawesi.
-
E.
Kendari
Kendari is the capital and largest city of Southeast Sulawesi Province on the Indonesian island of Sulawesi, known as a regional center for trade and maritime activities.
- 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: Parepare Triple: [South Sulawesi, hasCity, Parepare]
Generated description
Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parepare Target entity description: Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
-
A.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
-
B.
Palu
Palu is a coastal city on the Indonesian island of Sulawesi, known as the capital of Central Sulawesi province and a regional center for trade and administration.
-
C.
Makassar
Makassar is a major port city on the southwest coast of Sulawesi known historically as a key maritime trading hub in eastern Indonesia.
-
D.
Maros Regency
Maros Regency is an administrative region in Indonesia known for its karst landscapes, caves, and proximity to the provincial capital of Makassar in South Sulawesi.
-
E.
Kendari
Kendari is the capital and largest city of Southeast Sulawesi Province on the Indonesian island of Sulawesi, known as a regional center for trade and maritime activities.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9871fc908190ad90e5b01b476b3f |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108d4e5408190a0dd3728c5cf6a47 |
completed | March 11, 2026, 6:16 a.m. |
| NEDg | Description generation | batch_69b10ccadf608190b2032ebb51271c90 |
completed | March 11, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10d3e846481909a4342d844071040 |
completed | March 11, 2026, 6:35 a.m. |
Created at: March 8, 2026, 2:56 p.m.