Triple
T14166396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Crick Institute |
E351087
|
entity |
| Predicate | hasLaboratorySpace |
P113085
|
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: [Francis Crick Institute, hasLaboratorySpace, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaboratorySpace Context triple: [Francis Crick Institute, hasLaboratorySpace, yes]
-
A.
hasKeyLaboratory
Indicates that an entity possesses or is associated with a designated key laboratory, typically as an important research or development facility under its responsibility.
-
B.
hasLaboratorySystem
Indicates that one entity possesses, uses, or is associated with a particular laboratory system.
-
C.
hasLaboratoryServices
Indicates that one entity provides or makes available laboratory services to another entity or within a given context.
-
D.
aboardLaboratory
Indicates that an entity is physically present on or within a laboratory facility, such as being on board a lab-equipped platform, vehicle, or structure.
-
E.
takenInLaboratoryOf
Indicates that something (such as a sample, measurement, or observation) was obtained or performed within a specific laboratory.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1 a.m.