Triple
T13153284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepulauan Talaud Regency |
E312518
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Melonguane
Melonguane is a coastal town in North Sulawesi, Indonesia, serving as the main administrative and economic center of the remote Talaud Islands near the Philippine border.
|
E1023948
|
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: Melonguane | Statement: [Kepulauan Talaud Regency, capital, Melonguane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melonguane Context triple: [Kepulauan Talaud Regency, capital, Melonguane]
-
A.
Lenong
Lenong is a traditional Betawi folk theater form from Jakarta that combines comedic dialogue, music, and dance to depict everyday life and social satire.
-
B.
Malango
Malango is an Oceanic language spoken in the Solomon Islands, closely related to and geographically adjacent to the Ghari language.
-
C.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
D.
Menongue
Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
-
E.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
- 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: Melonguane Triple: [Kepulauan Talaud Regency, capital, Melonguane]
Generated description
Melonguane is a coastal town in North Sulawesi, Indonesia, serving as the main administrative and economic center of the remote Talaud Islands near the Philippine border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melonguane Target entity description: Melonguane is a coastal town in North Sulawesi, Indonesia, serving as the main administrative and economic center of the remote Talaud Islands near the Philippine border.
-
A.
Lenong
Lenong is a traditional Betawi folk theater form from Jakarta that combines comedic dialogue, music, and dance to depict everyday life and social satire.
-
B.
Malango
Malango is an Oceanic language spoken in the Solomon Islands, closely related to and geographically adjacent to the Ghari language.
-
C.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
D.
Menongue
Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
-
E.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd317e0819086e383f8e4583630 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ef102fb08190b8a9646e5b45155c |
completed | May 3, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef933f888190880e680f7f4c1c29 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:11 p.m.