Triple
T11096995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DG GROW |
E262401
|
entity |
| Predicate | usesAbbreviation |
P43
|
FINISHED |
| Object | GROW |
E262401
|
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: GROW | Statement: [DG GROW, usesAbbreviation, GROW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GROW Context triple: [DG GROW, usesAbbreviation, GROW]
-
A.
Keep on Growing
"Keep on Growing" is a blues-rock song by Derek and the Dominos, known for its extended jam style and showcasing Eric Clapton’s guitar work and soulful ensemble performance.
-
B.
DG GROW
chosen
DG GROW is the European Commission department responsible for EU policies on the internal market, industry, entrepreneurship, and small and medium-sized enterprises.
-
C.
It’s Growing
"It’s Growing" is a song featured on the album "Covers."
-
D.
Grow Your Value
"Grow Your Value" is a career and self-empowerment book by journalist Mika Brzezinski that offers advice to women on increasing their professional worth and negotiating fair compensation.
-
E.
Growing
"Growing" is an autobiographical work by Leonard Woolf recounting his years as a colonial administrator in Ceylon and his political and personal development during that period.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0a02cc8190a15df663d4860163 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.