Triple
T6141390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaba Island |
E136969
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Banaba |
E94656
|
NE FINISHED |
How this triple was built (2 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: [Banaba Island, alsoKnownAs, Banaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banaba Context triple: [Banaba Island, alsoKnownAs, Banaba]
-
A.
Banaba
chosen
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.
-
B.
Tinospora
Tinospora is a genus of climbing shrubs known for their medicinally used stems and widespread occurrence in tropical and subtropical regions.
-
C.
Cassia
Cassia is a feminine given name used in various cultures, often associated with warmth and spice due to its connection to the cassia tree and cinnamon.
-
D.
Jambu Savari
Jambu Savari is the grand elephant-led procession that forms the centerpiece of the Mysuru Dasara celebrations in Karnataka, India.
-
E.
Sakkarin
Sakkarin is the stage name used by British singer, songwriter, and record producer Jonathan King.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb2404c8190bbbfa78d5f49389f |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135f2defc8190a666f82e230a51c2 |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:16 p.m.