Triple
T226660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obergefell v. Hodges |
E4328
|
entity |
| Predicate | term |
P6918
|
FINISHED |
| Object | October Term 2014 |
—
|
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: October Term 2014 | Statement: [Obergefell v. Hodges, term, October Term 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: term Context triple: [Obergefell v. Hodges, term, October Term 2014]
-
A.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
B.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
C.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
-
D.
termOfCourt
chosen
Indicates the specific judicial session or period during which a court is formally in operation for a case or legal matter.
-
E.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.