Triple
T36939618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerdanyola del Vallès |
E913718
|
entity |
| Predicate | hasScienceInfrastructure |
P15417
|
FINISHED |
| Object | ALBA Synchrotron |
—
|
NE NERFINISHED |
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: ALBA Synchrotron | Statement: [Cerdanyola del Vallès, hasScienceInfrastructure, ALBA Synchrotron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScienceInfrastructure Context triple: [Cerdanyola del Vallès, hasScienceInfrastructure, ALBA Synchrotron]
-
A.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
B.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
C.
researchInfrastructureType
Indicates the specific kind or category of research-related infrastructure associated with an entity.
-
D.
hasScienceCenter
Indicates that an entity possesses, hosts, or includes a science center as one of its facilities or components.
-
E.
hasScienceRack
Indicates that an entity is equipped with or includes a designated rack used for holding or organizing scientific equipment or materials.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:13 p.m.