Triple
T26063150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts 54th Volunteer Infantry Regiment |
E657322
|
entity |
| Predicate | equalPayAchieved |
P28849
|
FINISHED |
| Object | 1864 |
—
|
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: 1864 | Statement: [Massachusetts 54th Volunteer Infantry Regiment, equalPayAchieved, 1864]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equalPayAchieved Context triple: [Massachusetts 54th Volunteer Infantry Regiment, equalPayAchieved, 1864]
-
A.
genderEquality
chosen
Indicates that the relationship or action promotes, reflects, or ensures equal rights, opportunities, and treatment for all genders without discrimination.
-
B.
payScale
Indicates the compensation level or salary range assigned to an entity, typically reflecting its relative pay or grade within a structured system.
-
C.
resultForEEOC
Indicates that a particular outcome, decision, or finding is associated with an EEOC (Equal Employment Opportunity Commission) case or proceeding.
-
D.
payScaleNumber
Indicates the specific numeric level or grade assigned to an entity within a pay scale or salary structure.
-
E.
hasGenderNeutralEligibility
Indicates that an entity is eligible or applicable in a way that does not depend on or specify a particular gender.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606941410819098a15b288273c3e1 |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:20 p.m.