Triple
T10408046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Banda Arc |
E245314
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Damar
Damar is a volcanic island in Indonesia’s Inner Banda Arc, known for its rugged terrain and relatively remote location in the Banda Sea.
|
E861916
|
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: Damar | Statement: [Inner Banda Arc, hasIsland, Damar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damar Context triple: [Inner Banda Arc, hasIsland, Damar]
-
A.
Shimea
Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
-
B.
Acacías
Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
-
C.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
-
D.
Santal
Santal are an indigenous ethnic group of South Asia, primarily found in India, Bangladesh, and Nepal, known for their distinct Austroasiatic language, rich oral traditions, and agrarian lifestyle.
-
E.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism 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: Damar Triple: [Inner Banda Arc, hasIsland, Damar]
Generated description
Damar is a volcanic island in Indonesia’s Inner Banda Arc, known for its rugged terrain and relatively remote location in the Banda Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damar Target entity description: Damar is a volcanic island in Indonesia’s Inner Banda Arc, known for its rugged terrain and relatively remote location in the Banda Sea.
-
A.
Shimea
Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
-
B.
Acacías
Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
-
C.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
-
D.
Santal
Santal are an indigenous ethnic group of South Asia, primarily found in India, Bangladesh, and Nepal, known for their distinct Austroasiatic language, rich oral traditions, and agrarian lifestyle.
-
E.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism 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_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.