Triple
T4370398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAC Rally |
E98880
|
entity |
| Predicate | notableForestAreas |
P55813
|
FINISHED |
| Object | Welsh forests |
—
|
LITERAL FINISHED |
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: Welsh forests | Statement: [RAC Rally, notableForestAreas, Welsh forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForestAreas Context triple: [RAC Rally, notableForestAreas, Welsh forests]
-
A.
forestArea
Indicates the extent or size of land covered by forest within a given area or region.
-
B.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
-
C.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
D.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
-
E.
hasUNESCOBiosphereReserve
Indicates that an entity includes, contains, or is associated with a designated UNESCO Biosphere 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521cb7ec8190b7b79675871d97d8 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:17 p.m.