Triple
T17183564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lime House |
E417040
|
entity |
| Predicate | hasDefinedBoundaries |
P126645
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Lime House, hasDefinedBoundaries, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefinedBoundaries Context triple: [Lime House, hasDefinedBoundaries, Yes]
-
A.
hasIAUBoundariesDefinedBy
Indicates that an entity’s boundaries are defined or delimited according to standards or specifications established by the International Astronomical Union (IAU).
-
B.
hasBoundaryUnit
Indicates that one entity uses or is associated with a specific unit of measurement for its boundary or limit.
-
C.
bordersDefinedIn
Indicates that the boundaries or borders of one entity are specified, established, or formally described within another entity (such as a document, dataset, or legal instrument).
-
D.
hasBoundaryFeature
Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
-
E.
hasBoundaryShape
Indicates that an entity is associated with, or characterized by, a specific geometric or spatial shape of its boundary.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9416a48190a5930fcd6008dbaa |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.