Triple
T762121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article III, Section 1 of the United States Constitution |
E16092
|
entity |
| Predicate | typeOfTenure |
P16585
|
FINISHED |
| Object | during good behaviour |
—
|
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: during good behaviour | Statement: [Article III, Section 1 of the United States Constitution, typeOfTenure, during good behaviour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTenure Context triple: [Article III, Section 1 of the United States Constitution, typeOfTenure, during good behaviour]
-
A.
lifeTenure
chosen
Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
-
B.
tenantType
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
C.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
D.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
E.
periodOfContinuousInhabitation
Indicates a span of time during which a place is continuously inhabited without interruption.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6841f388190a6d08c3bf5c17fe4 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.