Triple
T11726764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Church of Christ |
E278789
|
entity |
| Predicate | policyOnMarriage |
P99052
|
FINISHED |
| Object | supports same-sex 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: supports same-sex marriage | Statement: [United Church of Christ, policyOnMarriage, supports same-sex marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyOnMarriage Context triple: [United Church of Christ, policyOnMarriage, supports same-sex marriage]
-
A.
maritalPolicy
chosen
Indicates a relationship where an authority or institution defines rules, conditions, or norms governing marriage between individuals.
-
B.
sameSexMarriage
Indicates that two individuals are married to each other and are of the same sex.
-
C.
politicalPurposeOfMarriage
Indicates that a marriage is entered into or used primarily for political objectives, such as gaining power, forming alliances, or influencing governance.
-
D.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
E.
marriageProvision
Indicates that one party provides for, supports, or makes arrangements related to another party’s marriage (such as financial, legal, or material provisions).
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d70d908190b5f47c2ef501a191 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.