Triple
T1299479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark County |
E27728
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Enterprise |
E98094
|
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: Enterprise | Statement: [Clark County, contains, Enterprise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enterprise Context triple: [Clark County, contains, Enterprise]
-
A.
Enterprise
Enterprise is the most feature-rich, high-end edition of Microsoft Visual Studio designed for large-scale, complex, and enterprise-level software development.
-
B.
Enterprise
Enterprise is a TechCrunch news section focused on coverage of enterprise technology, software, and IT industry developments.
-
C.
Enterprise
chosen
Enterprise is a small city in southeastern Alabama known for its agricultural heritage and the Boll Weevil Monument symbolizing the region’s shift from cotton to peanut farming.
-
D.
Enterprise Hub
Enterprise Hub is a Royal Academy of Engineering initiative that supports and accelerates UK engineering and technology entrepreneurs through funding, mentoring, and business development resources.
-
E.
Enterprise Programme
The Enterprise Programme is a Prince’s Trust initiative that helps young people start and grow their own businesses through training, mentoring, and financial support.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c111a76c81909e6b914694986251 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc631b88190853948eeb5f24527 |
completed | March 7, 2026, 10:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.