Triple
T14543521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skilled Park |
E341228
|
entity |
| Predicate | hasCorporateBoxes |
P26950
|
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: [Skilled Park, hasCorporateBoxes, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorporateBoxes Context triple: [Skilled Park, hasCorporateBoxes, yes]
-
A.
hasBoxes
Indicates that an entity possesses, contains, or is associated with one or more boxes.
-
B.
hasCorporatePresence
Indicates that an organization maintains an official operational or business presence (such as offices, facilities, or legal registration) in a particular location or context.
-
C.
hasVIPBoxes
chosen
Indicates that an entity provides or contains VIP boxes as part of its facilities or offerings.
-
D.
hasCorporateOffice
Indicates that an entity maintains a formal corporate office at a specified location or within another organizational entity.
-
E.
hasBranchOffice
Indicates that one organization maintains a branch office or subsidiary location in another place or 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1be5a8081909bf727e28a5bba4a |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.