Triple
T28103700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autumn Scardina |
E710304
|
entity |
| Predicate | legalClaimJurisdiction |
P135800
|
FINISHED |
| Object | Colorado Anti-Discrimination Act |
—
|
NE NERFINISHED |
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: Colorado Anti-Discrimination Act | Statement: [Autumn Scardina, legalClaimJurisdiction, Colorado Anti-Discrimination Act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalClaimJurisdiction Context triple: [Autumn Scardina, legalClaimJurisdiction, Colorado Anti-Discrimination Act]
-
A.
legalJurisdiction
Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
-
B.
legalProtectionJurisdiction
chosen
Indicates the jurisdiction or legal authority under which an entity is granted legal protection.
-
C.
civilJurisdictionIncludes
Indicates that one civil jurisdiction’s authority or territorial scope encompasses or contains another area or entity.
-
D.
legalLicenseJurisdiction
Indicates the legal authority or geographic area under whose laws a particular license is granted, valid, or enforced.
-
E.
jurisdictionOfTribunal
Indicates the legal authority or scope within which a particular tribunal is empowered to hear and decide cases.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 27, 2026, 9:06 p.m.