Triple
T29255521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Colorado Law School |
E741692
|
entity |
| Predicate | naturalResourcesLawReputation |
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, naturalResourcesLawReputation, strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalResourcesLawReputation Context triple: [University of Colorado Law School, naturalResourcesLawReputation, strong]
-
A.
environmentalReputation
Indicates the perceived quality or standing of an entity’s environmental practices, impact, or responsibility.
-
B.
hasNaturalResourceStatus
Indicates that an entity has a specified classification or condition regarding its natural resources (e.g., abundance, protection level, or exploitation status).
-
C.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for another entity.
-
D.
institutionalReputationContext
Indicates the situational or environmental factors that shape or influence an institution’s reputation.
-
E.
regionalReputation
Indicates the recognition or standing an entity has within a specific geographic region based on its performance, influence, or perceived quality.
- F. None of above. chosen
Provenance (4 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_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 28, 2026, 12:37 p.m.