Triple
T1058448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union |
E22849
|
entity |
| Predicate | laterGoal |
P24331
|
FINISHED |
| Object | abolition of slavery in rebelling states |
—
|
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: abolition of slavery in rebelling states | Statement: [Union, laterGoal, abolition of slavery in rebelling states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterGoal Context triple: [Union, laterGoal, abolition of slavery in rebelling states]
-
A.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
B.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
C.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
D.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
E.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4ba6e35ac8190802341c31bda0e3b |
completed | March 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69a4b7340a048190807363f19d17a58f |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4ba6d44c08190bf0ab28661ed8ca0 |
completed | March 1, 2026, 10:15 p.m. |
Created at: March 1, 2026, 7:42 p.m.