Triple
T5150599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TAI |
E116183
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | SI second |
E116185
|
NE 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: SI second | Statement: [TAI, basedOn, SI second]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SI second Context triple: [TAI, basedOn, SI second]
-
A.
SI second
chosen
The SI second is the base unit of time in the International System of Units, precisely defined by a fixed number of periods of radiation corresponding to a specific transition in the cesium-133 atom.
-
B.
SI
SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
-
C.
SI
SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
-
D.
SII
SII is the abbreviated name for the Military and Information Security Service, a national agency responsible for safeguarding defense-related and sensitive information.
-
E.
SII
SII (singly ionized sulfur) is an emission line commonly used in astrophotography and spectroscopy to highlight ionized gas regions in nebulae and other astronomical objects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed004538c81908fac258ea99f7e63 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.