Triple
T12758232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uddevalla |
E304916
|
entity |
| Predicate | RimnersvallenRole |
P106743
|
FINISHED |
| Object | 1958 FIFA World Cup venue |
—
|
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: 1958 FIFA World Cup venue | Statement: [Uddevalla, RimnersvallenRole, 1958 FIFA World Cup venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RimnersvallenRole Context triple: [Uddevalla, RimnersvallenRole, 1958 FIFA World Cup venue]
-
A.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
-
B.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
C.
notableRiverCrossingRole
Indicates that an entity plays a significant role as a location or feature involved in the crossing of a river.
-
D.
reservoirRiver
Indicates that a reservoir is supplied or drained by, and thus hydrologically connected to, a particular river.
-
E.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8d3eb08190ae998df5cc6d9ba6 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.