Triple
T25869881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guillotine |
E651721
|
entity |
| Predicate | historicalCoverage |
P59380
|
FINISHED |
| Object | late 18th century France |
—
|
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: late 18th century France | Statement: [The Guillotine, historicalCoverage, late 18th century France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalCoverage Context triple: [The Guillotine, historicalCoverage, late 18th century France]
-
A.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
-
B.
historicallyEncompassed
chosen
Indicates that one entity previously included, covered, or contained another entity within its scope, extent, or boundaries during a past historical period.
-
C.
historicalStatusOf
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
D.
historicalSpread
Indicates how something has expanded, diffused, or propagated across time and/or space throughout history.
-
E.
hasHistoricalContextDisplays
Indicates that something presents or showcases information within a broader historical background or setting.
- F. None of above.
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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 22, 2026, 8:10 a.m.