Triple
T417395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Manchester Institution |
E8023
|
entity |
| Predicate | buildingConstructionStart |
P14638
|
FINISHED |
| Object | 1824 |
—
|
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: 1824 | Statement: [Royal Manchester Institution, buildingConstructionStart, 1824]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingConstructionStart Context triple: [Royal Manchester Institution, buildingConstructionStart, 1824]
-
A.
startConstruction
Indicates that an entity initiates the process of building or constructing another entity or structure.
-
B.
constructionStartedBy
Indicates that the construction of something was initiated or begun by a particular agent or entity.
-
C.
constructionCompleted
Indicates that a construction process or project has been fully finished and reached its completed state.
-
D.
constructionResumed
Indicates that previously halted construction activity on an entity or project has started again.
-
E.
constructionType
Indicates the specific method or style by which something is built or constructed.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd1ca148190a66bd8c5aad867d5 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2eeb8545c8190a2b8517e7ed5b92e |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.