Triple
T2890923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Environmental and Regulatory Law Clinic |
E63819
|
entity |
| Predicate | providesExperienceIn |
P22109
|
FINISHED |
| Object | client representation |
—
|
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: client representation | Statement: [Environmental and Regulatory Law Clinic, providesExperienceIn, client representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesExperienceIn Context triple: [Environmental and Regulatory Law Clinic, providesExperienceIn, client representation]
-
A.
typeOfExperience
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
B.
experienceType
chosen
Indicates the specific kind or category of experience associated with an entity or event.
-
C.
primaryExperience
Indicates that one entity is the main or most significant experience associated with another entity, as opposed to secondary or supporting experiences.
-
D.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
E.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe05f98848190a33344fa780a3597 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:07 p.m.