Triple
T14166394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Crick Institute |
E351087
|
entity |
| Predicate | numberOfScientists |
P113084
|
FINISHED |
| Object | over 1000 |
—
|
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: over 1000 | Statement: [Francis Crick Institute, numberOfScientists, over 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfScientists Context triple: [Francis Crick Institute, numberOfScientists, over 1000]
-
A.
hasScientificStaff
Indicates that an entity employs or is associated with one or more individuals serving in scientific or research-related roles.
-
B.
involvedScientist
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
-
C.
notableScientist
Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
-
D.
producedScientist
Indicates that an entity (such as an institution, organization, or place) has produced, trained, or given rise to a particular scientist.
-
E.
eraOfScience
Indicates that one entity is a historical period characterized by particular developments or features in science associated with the other entity.
- 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.