Triple
T38072668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordon, Hampshire, England |
E950625
|
entity |
| Predicate | nearbyHeathland |
P199306
|
FINISHED |
| Object | Woolmer Forest |
—
|
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: Woolmer Forest | Statement: [Bordon, Hampshire, England, nearbyHeathland, Woolmer Forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyHeathland Context triple: [Bordon, Hampshire, England, nearbyHeathland, Woolmer Forest]
-
A.
nearbyFell
Indicates that one entity fell or collapsed in close physical proximity to another entity or reference point.
-
B.
hasNearbyWoodland
Indicates that one entity is located close to or in the immediate vicinity of a woodland area associated with another entity.
-
C.
hasNearbyGreenSpace
Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
-
D.
nearbyCountryPark
Indicates that a country park is located close to or within a short distance of a given reference place or area.
-
E.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
- F. None of above. chosen
Provenance (4 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff2d22ffb48190ae58ddf3c7e02869 |
completed | May 9, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69ff2ac2e1c4819096cc64e94aef2ff0 |
completed | May 9, 2026, 12:38 p.m. |
| PDg | Predicate description generation | batch_69ff2d21f0a48190ad2ef5901cb07d93 |
completed | May 9, 2026, 12:48 p.m. |
Created at: May 3, 2026, 4:21 p.m.