Triple
T12971542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanimbar Islands |
E321408
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Maru
Maru is one of the islands that make up Indonesia’s remote Tanimbar archipelago in the Maluku province.
|
E1012951
|
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: Maru | Statement: [Tanimbar Islands, hasIsland, Maru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maru Context triple: [Tanimbar Islands, hasIsland, Maru]
-
A.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
-
B.
Ōkuma
Ōkuma is a Japanese surname most famously associated with statesman and educator Ōkuma Shigenobu, a key figure in Japan’s Meiji-era modernization.
-
C.
Shigure
Shigure was a Japanese destroyer of the Imperial Japanese Navy during World War II, noted for its participation in numerous major naval engagements and its reputation for repeatedly surviving heavy combat.
-
D.
Zuihō Tankō-shō
Zuihō Tankō-shō is a Japanese government decoration awarded as the lowest class of the Order of the Sacred Treasure for meritorious civil or public service.
-
E.
Kokusai Ta-Go
The Kokusai Ta-Go was a late-World War II Japanese prototype light fighter aircraft designed for emergency home-defense use.
- 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: Maru Triple: [Tanimbar Islands, hasIsland, Maru]
Generated description
Maru is one of the islands that make up Indonesia’s remote Tanimbar archipelago in the Maluku province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maru Target entity description: Maru is one of the islands that make up Indonesia’s remote Tanimbar archipelago in the Maluku province.
-
A.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
-
B.
Ōkuma
Ōkuma is a Japanese surname most famously associated with statesman and educator Ōkuma Shigenobu, a key figure in Japan’s Meiji-era modernization.
-
C.
Shigure
Shigure was a Japanese destroyer of the Imperial Japanese Navy during World War II, noted for its participation in numerous major naval engagements and its reputation for repeatedly surviving heavy combat.
-
D.
Zuihō Tankō-shō
Zuihō Tankō-shō is a Japanese government decoration awarded as the lowest class of the Order of the Sacred Treasure for meritorious civil or public service.
-
E.
Kokusai Ta-Go
The Kokusai Ta-Go was a late-World War II Japanese prototype light fighter aircraft designed for emergency home-defense use.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9a1ca54819085da2ca592bf5219 |
completed | May 3, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 8:36 p.m.