Triple
T29255520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Colorado Law School |
E741692
|
entity |
| Predicate | environmentalLawReputation |
P169674
|
FINISHED |
| Object | strong |
—
|
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: strong | Statement: [University of Colorado Law School, environmentalLawReputation, strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalLawReputation Context triple: [University of Colorado Law School, environmentalLawReputation, strong]
-
A.
environmentalReputation
Indicates the perceived quality or standing of an entity’s environmental practices, impact, or responsibility.
-
B.
naturalResourcesLawReputation
chosen
Indicates the degree to which an entity is recognized or reputed for expertise, performance, or standing in the field of natural resources law.
-
C.
environmentalProtectionStatus
Indicates the level or type of legal or policy-based protection afforded to an entity due to environmental conservation or preservation considerations.
-
D.
environmentAuthority
Indicates that an entity has official regulatory or supervisory power over environmental matters affecting another entity or area.
-
E.
hasEnvironmentalRecognition
Indicates that an entity has received recognition, certification, or an award related to its environmental performance, practices, or impact.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 12:37 p.m.