Triple
T22414485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maashorst nature reserve |
E554081
|
entity |
| Predicate | hasFauna |
P950
|
FINISHED |
| Object | wisent |
—
|
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: wisent | Statement: [Maashorst nature reserve, hasFauna, wisent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: wisent Context triple: [Maashorst nature reserve, hasFauna, wisent]
-
A.
wisent
chosen
The wisent is a large, shaggy-haired wild bovine native to European forests and grasslands, recognized as Europe’s heaviest land mammal.
-
B.
WISE
WISE is a NASA space telescope that conducted an all-sky survey in infrared light to discover and catalog objects such as asteroids, stars, and distant galaxies.
-
C.
WIT
WIT is the New York Stock Exchange ticker symbol for Wipro Limited, a major Indian multinational information technology services and consulting company.
-
D.
Wisen
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
-
E.
Wisser
The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15945486081908eb3a7b0441c0ef1 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.