Triple
T13713513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Island |
E328833
|
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: [Ocean Island, alsoKnownAs, Banaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banaba Context triple: [Ocean 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.
Shikitsu
Shikitsu is a notable district within Naniwa-ku in Osaka, Japan, known for its urban character and local commercial activity.
-
C.
Senna
Senna is a critically acclaimed 2010 documentary film that chronicles the life, career, and tragic death of legendary Brazilian Formula One driver Ayrton Senna.
-
D.
Tinospora
Tinospora is a genus of climbing shrubs known for their medicinally used stems and widespread occurrence in tropical and subtropical regions.
-
E.
Aonla
Aonla is a parliamentary constituency in Uttar Pradesh, India, known for its agricultural economy and political significance.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.