Triple
T18004775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liss |
E430717
|
entity |
| Predicate | hasSubSettlement |
P74360
|
FINISHED |
| Object | Liss Forest |
—
|
NE NERFINISHED |
How this triple was built (3 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: Liss Forest | Statement: [Liss, hasSubSettlement, Liss Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liss Forest Context triple: [Liss, hasSubSettlement, Liss Forest]
-
A.
Kowen Forest
Kowen Forest is a large pine plantation and recreational forest area east of Canberra in the Australian Capital Territory, popular for activities such as mountain biking, trail running, and orienteering.
-
B.
Marly Forest
Marly Forest is a historic woodland area in the Yvelines department of north-central France, known for its natural landscapes and former royal hunting grounds.
-
C.
Piska Forest
Piska Forest is one of the largest forest complexes in northeastern Poland, known for its extensive woodlands, lakes, and rich biodiversity within the Masurian region.
-
D.
Tennenlohe Forest
Tennenlohe Forest is a protected woodland area in Bavaria, Germany, known for its diverse habitats, rare species, and recreational trails near the city of Erlangen.
-
E.
Lyons forest
Lyons forest is a large, historic woodland area in northern France known for its extensive beech and oak forests and traditional rural landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liss Forest Target entity description: Liss Forest is a small village in Hampshire, England, situated near the larger village of Liss and known for its proximity to heathland and woodland areas.
-
A.
Kowen Forest
Kowen Forest is a large pine plantation and recreational forest area east of Canberra in the Australian Capital Territory, popular for activities such as mountain biking, trail running, and orienteering.
-
B.
Marly Forest
Marly Forest is a historic woodland area in the Yvelines department of north-central France, known for its natural landscapes and former royal hunting grounds.
-
C.
Piska Forest
Piska Forest is one of the largest forest complexes in northeastern Poland, known for its extensive woodlands, lakes, and rich biodiversity within the Masurian region.
-
D.
Tennenlohe Forest
Tennenlohe Forest is a protected woodland area in Bavaria, Germany, known for its diverse habitats, rare species, and recreational trails near the city of Erlangen.
-
E.
Lyons forest
Lyons forest is a large, historic woodland area in northern France known for its extensive beech and oak forests and traditional rural landscapes.
- F. None of above. chosen
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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3eb1f748190904c8894d22cf85f |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.