Triple
T2563753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lambeth 1930 Resolution on contraception |
E57301
|
entity |
| Predicate | positionOnContraception |
P17839
|
FINISHED |
| Object | cautious permission within marriage |
—
|
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: cautious permission within marriage | Statement: [Lambeth 1930 Resolution on contraception, positionOnContraception, cautious permission within marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnContraception Context triple: [Lambeth 1930 Resolution on contraception, positionOnContraception, cautious permission within marriage]
-
A.
sexControlTechnique
Indicates a technique or method used to influence, determine, or manipulate the sex of organisms or offspring.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionOnReason
chosen
Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
-
D.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
-
E.
positionOnLabor
Indicates the role, stance, or viewpoint an entity holds regarding labor-related issues, policies, or practices.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.