Triple
T8420945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middlesex Hospital |
E198847
|
entity |
| Predicate | joinedNHS |
P82093
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [Middlesex Hospital, joinedNHS, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedNHS Context triple: [Middlesex Hospital, joinedNHS, 1948]
-
A.
hasNurse
Indicates that an entity is assigned or associated with a nurse who provides care or medical support to it.
-
B.
admittedTo
Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
-
C.
admittedToUnionFrom
Indicates that an entity (such as a state or region) was admitted into a union or larger political entity from a specified prior jurisdiction or status.
-
D.
joinedAsProvince
Indicates that an entity became part of a larger political or administrative unit with the status of a province.
-
E.
enteredAdministration
Indicates that an entity has formally begun serving in an administrative role or office within an organization or institution.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:06 p.m.