Triple
T34828244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5th Massachusetts Cavalry Regiment |
E1003991
|
entity |
| Predicate | hasSoldierDemographic |
P165997
|
FINISHED |
| Object | formerly enslaved men |
—
|
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: formerly enslaved men | Statement: [5th Massachusetts Cavalry Regiment, hasSoldierDemographic, formerly enslaved men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoldierDemographic Context triple: [5th Massachusetts Cavalry Regiment, hasSoldierDemographic, formerly enslaved men]
-
A.
hasSoldier
Indicates that one entity possesses, employs, or is associated with a soldier or group of soldiers.
-
B.
hasMilitaryStatus
Indicates that an entity possesses a specific military affiliation, role, or status (such as active duty, reserve, or veteran).
-
C.
hasMilitaryClass
Indicates that an entity belongs to, is assigned to, or is categorized under a specific military class or classification.
-
D.
regimentalEthnicity
chosen
Indicates that a military regiment is associated with a particular ethnic group, typically in terms of its composition or identity.
-
E.
hasMilitaryType
Indicates that an entity is associated with or classified under a specific military category, role, or type.
- 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4 p.m.