Triple
T103977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Colony |
E2100
|
entity |
| Predicate | establishedAs |
P5762
|
FINISHED |
| Object | refreshment station |
—
|
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: refreshment station | Statement: [Cape Colony, establishedAs, refreshment station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAs Context triple: [Cape Colony, establishedAs, refreshment station]
-
A.
establishes
Indicates that one entity initiates, creates, or formally sets up another entity, relationship, or state, often giving it official or recognized status.
-
B.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
-
C.
establishedAsNationals
Indicates that certain entities have been formally recognized or constituted as national representatives or national-level organizations.
-
D.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
E.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a25711f6788190a22252ea3a3af394 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563be81c81908ccc5ed44edd6b8e |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2570f45bc81909ebba7ee5f602976 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.