Triple
T15050674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rebel City |
E379351
|
entity |
| Predicate | relatesToHistoricalTheme |
P36351
|
FINISHED |
| Object | rebellion in Ireland |
—
|
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: rebellion in Ireland | Statement: [The Rebel City, relatesToHistoricalTheme, rebellion in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToHistoricalTheme Context triple: [The Rebel City, relatesToHistoricalTheme, rebellion in Ireland]
-
A.
historicalFocus
chosen
Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
-
B.
historicalConcept
Indicates that something represents, embodies, or is recognized as a concept, idea, or notion rooted in or primarily relevant to a past historical context.
-
C.
historicalInterest
Indicates that one entity has a notable relevance, appeal, or significance to the study or understanding of the past.
-
D.
historicallyRich
Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
-
E.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8f71988190b4fe7f7de4ccb798 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 3:01 a.m.