Triple
T10408047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Banda Arc |
E245314
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Romang
Romang is a remote volcanic island in Indonesia’s Maluku province, known for its rugged terrain, small coastal settlements, and location within the tectonically active Banda Sea region.
|
E861917
|
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: Romang | Statement: [Inner Banda Arc, hasIsland, Romang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romang Context triple: [Inner Banda Arc, hasIsland, Romang]
-
A.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
B.
Rumâri
Rumâri are an Eastern Romance-speaking ethnic group in Istria, traditionally known as the local Vlach or Istro-Romanian community.
-
C.
Lezgin
Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
-
D.
Romm
Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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: Romang Triple: [Inner Banda Arc, hasIsland, Romang]
Generated description
Romang is a remote volcanic island in Indonesia’s Maluku province, known for its rugged terrain, small coastal settlements, and location within the tectonically active Banda Sea region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Romang Target entity description: Romang is a remote volcanic island in Indonesia’s Maluku province, known for its rugged terrain, small coastal settlements, and location within the tectonically active Banda Sea region.
-
A.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
B.
Rumâri
Rumâri are an Eastern Romance-speaking ethnic group in Istria, traditionally known as the local Vlach or Istro-Romanian community.
-
C.
Lezgin
Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
-
D.
Romm
Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
-
E.
Rometty
Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9f9b59881909797646fd8cd6a7e |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbf1c428819099ca359309c4c836 |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:09 p.m.