Triple
T14991102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Ring |
E373835
|
entity |
| Predicate | roleInTevatronComplex |
P116253
|
FINISHED |
| Object | injector to the Tevatron |
—
|
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: injector to the Tevatron | Statement: [Main Ring, roleInTevatronComplex, injector to the Tevatron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTevatronComplex Context triple: [Main Ring, roleInTevatronComplex, injector to the Tevatron]
-
A.
roleInManhattanProject
Indicates that an entity held a specific role or position within the Manhattan Project.
-
B.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
-
C.
roleInTonyStarkLife
Indicates the specific role or significance an entity has in Tony Stark's life.
-
D.
roleInPowerStation
Indicates that one entity holds a specific functional role or responsibility within the operation or management of a power station.
-
E.
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.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:53 a.m.