Triple
T780849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiribati |
E16491
|
entity |
| Predicate | hasAtoll |
P970
|
FINISHED |
| Object |
Banaba
Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
|
E94656
|
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: Banaba | Statement: [Kiribati, hasAtoll, Banaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banaba Context triple: [Kiribati, hasAtoll, Banaba]
-
A.
Mangifera
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
B.
Hovenia
Hovenia is a small genus of flowering trees and shrubs, best known for the Japanese raisin tree (Hovenia dulcis), valued for its sweet, edible fruit stalks and use in traditional medicine.
-
C.
Morus
Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
-
D.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
-
E.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
- 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: Banaba Triple: [Kiribati, hasAtoll, Banaba]
Generated description
Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banaba Target entity description: Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
-
A.
Mangifera
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
B.
Hovenia
Hovenia is a small genus of flowering trees and shrubs, best known for the Japanese raisin tree (Hovenia dulcis), valued for its sweet, edible fruit stalks and use in traditional medicine.
-
C.
Morus
Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
-
D.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
-
E.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a751ea3481908a622d5255249883 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67efa8dd481909097c551bf3a61dc |
completed | March 3, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69a67f6ed2b08190bd03d34e60498110 |
completed | March 3, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a68257aab88190a7aefda939dc7f97 |
completed | March 3, 2026, 6:40 a.m. |
Created at: March 1, 2026, 7:37 p.m.