Triple
T26602767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal New Brunswick Regiment |
E667679
|
entity |
| Predicate | hasHistoricalService |
P182208
|
FINISHED |
| Object | major 20th-century conflicts |
—
|
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: major 20th-century conflicts | Statement: [Royal New Brunswick Regiment, hasHistoricalService, major 20th-century conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalService Context triple: [Royal New Brunswick Regiment, hasHistoricalService, major 20th-century conflicts]
-
A.
hasHistoricalData
Indicates that an entity possesses recorded information or records about past events, states, or values relevant to it.
-
B.
hasHistoricalUsageIn
Indicates that something has been used or practiced within a particular historical period, context, or tradition.
-
C.
hasHistoricFeatures
Indicates that something possesses characteristics, elements, or attributes of historical significance.
-
D.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 27, 2026, 2:13 a.m.