Triple
T18630992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit (Sociaal-Liberale Partij) |
E455414
|
entity |
| Predicate | cooperatedWith |
P435
|
FINISHED |
| Object | GROEN |
—
|
NE NERFINISHED |
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: GROEN | Statement: [Spirit (Sociaal-Liberale Partij), cooperatedWith, GROEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GROEN Context triple: [Spirit (Sociaal-Liberale Partij), cooperatedWith, GROEN]
-
A.
Groen
chosen
Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
-
B.
the Green
The Green is a mystical, interconnected realm embodying all plant life on Earth, serving as the source of power and consciousness for plant-based entities like Swamp Thing in DC Comics.
-
C.
Gruene
Gruene is a historic district and former town in New Braunfels, Texas, known for its preserved 19th-century buildings, live music at Gruene Hall, and riverside tourism.
-
D.
Geel
Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
-
E.
Green
Green is a song featured on the album "Picture Perfect Morning."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f07fa8481908b2535b8fba70b7e |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.