Triple
T32533701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extreme Light Infrastructure |
E831531
|
entity |
| Predicate | ELI Nuclear Physics |
P174556
|
FINISHED |
| Object | located near Bucharest, Romania |
—
|
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: located near Bucharest, Romania | Statement: [Extreme Light Infrastructure, ELI Nuclear Physics, located near Bucharest, Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ELI Nuclear Physics Context triple: [Extreme Light Infrastructure, ELI Nuclear Physics, located near Bucharest, Romania]
-
A.
isNucleon
Indicates that the entity is a nucleon, i.e., a particle that is either a proton or a neutron.
-
B.
nuclearPowered
Indicates that something operates using nuclear energy as its primary power source.
-
C.
targetNucleusInDiscovery
Indicates that a particular nucleus is the primary focus or subject of a scientific discovery or identification event.
-
D.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
-
E.
nuclearTheme
Indicates the central or most prominent element in a thematic structure around which related themes or information are organized.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c56976448190aa7d48f695e239cf |
completed | May 3, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:01 a.m.