Triple
T15830156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepler Objects of Interest |
E383847
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | KOI |
E481886
|
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: KOI | Statement: [Kepler Objects of Interest, hasAbbreviation, KOI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KOI Context triple: [Kepler Objects of Interest, hasAbbreviation, KOI]
-
A.
KOI
chosen
KOI is the three-letter IATA airport code assigned to Kirkwall Airport in Orkney, Scotland.
-
B.
Koiak
Koiak is the fourth month of the Coptic calendar, traditionally associated with preparations for the Nativity and rich liturgical hymns and rituals.
-
C.
Ko
Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
-
D.
Kok
Kok is a Dutch surname most notably borne by Wim Kok, a former Prime Minister of the Netherlands.
-
E.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e636bb48190a6b39feb550aaa3d |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.