Triple
T4342038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experimental Advanced Superconducting Tokamak |
E97804
|
entity |
| Predicate | firstPlasma |
P56152
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Experimental Advanced Superconducting Tokamak, firstPlasma, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPlasma Context triple: [Experimental Advanced Superconducting Tokamak, firstPlasma, 2006]
-
A.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
B.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
C.
firstRelease
Indicates that one entity is the initial or earliest release (in time or sequence) of another entity, such as a product, work, or version.
-
D.
firstAVA
Indicates that the subject is the first entity (e.g., version, appearance, or instance) in a sequence associated with the object.
-
E.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b350d1649881908fa6556d875a8b4d |
completed | March 12, 2026, 11:48 p.m. |
Created at: March 12, 2026, 11:14 p.m.