Triple
T6505100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeast Sulawesi |
E149987
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
|
E600648
|
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: Raha | Statement: [Southeast Sulawesi, hasCity, Raha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raha Context triple: [Southeast Sulawesi, hasCity, Raha]
-
A.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
B.
Rahanweyn
Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
-
C.
Orlandi Valuta
Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
-
D.
Khorumi
Khorumi is a dynamic Georgian war dance characterized by powerful, martial movements and formations that depict battle scenes and military pride.
-
E.
Gulden
The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
- 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: Raha Triple: [Southeast Sulawesi, hasCity, Raha]
Generated description
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raha Target entity description: Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
-
A.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
B.
Rahanweyn
Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
-
C.
Orlandi Valuta
Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
-
D.
Khorumi
Khorumi is a dynamic Georgian war dance characterized by powerful, martial movements and formations that depict battle scenes and military pride.
-
E.
Gulden
The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69966ff708190902c88cb6b48e5d7 |
completed | March 27, 2026, 2:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb43db608190b785e77f6850bb6f |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cc96edd08190b0c0f1b49dd64160 |
completed | March 27, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd8d15ec8190be5a8c5e3f201139 |
completed | March 27, 2026, 6:33 p.m. |
Created at: March 27, 2026, 1:43 p.m.