Triple
T16544963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KICs |
E401917
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object | EIT Food |
E84927
|
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: EIT Food | Statement: [KICs, hasExample, EIT Food]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EIT Food Context triple: [KICs, hasExample, EIT Food]
-
A.
EIT Food
chosen
EIT Food is a European innovation community that brings together businesses, research institutions, and universities to drive innovation and entrepreneurship in the agrifood sector.
-
B.
Eater
Eater is a science fiction novel by Gregory Benford that explores humanity’s encounter with a mysterious, sentient black hole-like entity.
-
C.
The Eat Up
The Eat Up is the debut EP by English actor and rapper Ed Skrein, showcasing his early work as a hip-hop artist.
-
D.
Jonathan Fire*Eater
Jonathan Fire*Eater was a mid-1990s New York City indie rock band known for its dark, theatrical sound and for spawning members who later formed The Walkmen.
-
E.
Jamie’s School Dinners
Jamie’s School Dinners is a British television series in which chef Jamie Oliver campaigns to improve the quality and nutritional standards of school meals in the UK.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34560daf08190b353b415d8ab280d |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b3248c8190b63793bfc072aa4f |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.