Triple
T26847712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brillouin scattering |
E675969
|
entity |
| Predicate | historicallyDescribedIn |
P191878
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Brillouin scattering, historicallyDescribedIn, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyDescribedIn Context triple: [Brillouin scattering, historicallyDescribedIn, 1920s]
-
A.
historicallyIn
Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
-
B.
historicalEventsDescribed
Indicates that one entity (such as a document, text, or account) describes or recounts the historical events associated with another entity.
-
C.
historicalEventDescribedAs
Indicates that a historical event is characterized or portrayed using a particular description, label, or narrative.
-
D.
historicallyDocumentedBy
Indicates that information about an entity or event is recorded or attested in a specific historical document or source.
-
E.
historicallyRich
Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: April 27, 2026, 5:13 a.m.