Triple
T7654990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeria Tanco |
E173356
|
entity |
| Predicate | rightsArea |
P63887
|
FINISHED |
| Object | family law rights for same-sex couples |
—
|
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: family law rights for same-sex couples | Statement: [Valeria Tanco, rightsArea, family law rights for same-sex couples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsArea Context triple: [Valeria Tanco, rightsArea, family law rights for same-sex couples]
-
A.
rightsCategory
chosen
Indicates the classification or type of rights associated with an entity or relationship.
-
B.
rights
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
C.
rightsSociety
Indicates that an entity holds legal, moral, or social rights in relation to a society or collective group.
-
D.
rightsInclude
Indicates that one set of rights encompasses, contains, or subsumes another set of rights.
-
E.
rightsRecognizedIn
Indicates that certain rights are formally acknowledged or upheld within a specified context, such as a legal system, jurisdiction, or document.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.