Triple
T34234781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papworth Hospital |
E878302
|
entity |
| Predicate | foundedAsTuberculosisColony |
P364
|
FINISHED |
| Object | 1916 |
—
|
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: 1916 | Statement: [Papworth Hospital, foundedAsTuberculosisColony, 1916]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsTuberculosisColony Context triple: [Papworth Hospital, foundedAsTuberculosisColony, 1916]
-
A.
foundedAsHospital
Indicates that an organization was originally established as a hospital.
-
B.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
C.
colonyTypeFounded
Indicates the specific type or category of colony that was established in a founding event.
-
D.
foundedAsMuseumBy
Indicates that an entity was established or created as a museum by a specific person or organization.
-
E.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 1, 2026, 1:56 a.m.