Triple
T23156457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Colors" zone |
E578451
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Nifrel |
—
|
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: Nifrel | Statement: ["Colors" zone, locatedIn, Nifrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nifrel Context triple: ["Colors" zone, locatedIn, Nifrel]
-
A.
Nifrel
chosen
Nifrel is an interactive aquarium and zoological museum in Osaka, Japan, known for its immersive, art-inspired exhibits that blend living creatures with digital installations.
-
B.
Renaelva
Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
-
C.
Freisa
Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
-
D.
Firyal
Firyal is a Jordanian princess and philanthropist known for her humanitarian work and involvement in international cultural and charitable organizations.
-
E.
Yennar
Yennar is the traditional Amazigh (Berber) New Year celebration, marking the start of the agrarian calendar and observed with cultural rituals, feasts, and communal festivities across North Africa.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efd598c81908fba9d583e30660e |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.