Triple
T4098193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Round Tower (Windsor Castle) |
E87873
|
entity |
| Predicate | positionWithinStructure |
P36917
|
FINISHED |
| Object | center of Windsor Castle |
—
|
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: center of Windsor Castle | Statement: [Round Tower (Windsor Castle), positionWithinStructure, center of Windsor Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinStructure Context triple: [Round Tower (Windsor Castle), positionWithinStructure, center of Windsor Castle]
-
A.
positionWithinComplex
chosen
Indicates that one entity is located inside or forms a component part of a larger complex or compound structure.
-
B.
positionIncluded
Indicates that one position or spatial region is entirely contained within another position or spatial region.
-
C.
positionSpecific
Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
-
D.
positionInHierarchy
Indicates that one entity occupies a specific rank or level relative to another within an ordered hierarchy.
-
E.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefce017708190a4d33753fd32a7bb |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.