Triple
T12044769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contraception and Chastity |
E286756
|
entity |
| Predicate | positionOnChastity |
P88144
|
FINISHED |
| Object | defends traditional Christian chastity |
—
|
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: defends traditional Christian chastity | Statement: [Contraception and Chastity, positionOnChastity, defends traditional Christian chastity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnChastity Context triple: [Contraception and Chastity, positionOnChastity, defends traditional Christian chastity]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
-
C.
positionOnPrayer
Indicates a stance, view, or policy that an entity holds regarding the practice or role of prayer.
-
D.
positionOnSecurity
Indicates the stance, opinion, or policy an entity holds regarding security-related issues or measures.
-
E.
positionOnRitual
chosen
Indicates the stance, role, or placement an entity holds with respect to a particular ritual or ceremonial practice.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.