Triple
T1047409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ullevaal Stadion |
E22612
|
entity |
| Predicate | hasFieldShape |
P169
|
FINISHED |
| Object | rectangular |
—
|
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: rectangular | Statement: [Ullevaal Stadion, hasFieldShape, rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFieldShape Context triple: [Ullevaal Stadion, hasFieldShape, rectangular]
-
A.
hasFieldColor
Indicates that an entity possesses a field whose color is specified by another entity or value.
-
B.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
C.
hasForm
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
D.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
E.
hasFieldOrientation
Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
- F. None of above.
Provenance (3 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f28c7c8190b9ca3749666bcbf3 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b72e3e488190b768005ad647886b |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.