Triple
T36988357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Competitive Edge |
E915025
|
entity |
| Predicate | locationOfStudCareer |
P56422
|
FINISHED |
| Object | Kentucky |
E18292
|
NE 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: Kentucky | Statement: [Competitive Edge, locationOfStudCareer, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfStudCareer Context triple: [Competitive Edge, locationOfStudCareer, Kentucky]
-
A.
educationLocation
Indicates the place or institution where an entity received education or underwent formal learning.
-
B.
collegeLocation
Indicates the geographical place where a college is situated or based.
-
C.
studCareerLocation
chosen
Indicates the place where a student's academic or professional career activities occur or are based.
-
D.
studCareerAt
Indicates that a student pursued or developed their academic or professional career at a particular institution or organization.
-
E.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
- F. None of above.
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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c2b3eb88190bebd24e33cc7a172 |
completed | June 26, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.