Triple
T22503818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EXALEAD |
E556338
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | EXALEAD OnePart Reduce |
—
|
NE NERFINISHED |
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: EXALEAD OnePart Reduce | Statement: [EXALEAD, hasProduct, EXALEAD OnePart Reduce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EXALEAD OnePart Reduce Context triple: [EXALEAD, hasProduct, EXALEAD OnePart Reduce]
-
A.
EXALEAD
chosen
EXALEAD is an enterprise search and information access software brand known for its advanced search, indexing, and data discovery solutions.
-
B.
Arvato CRM Solutions
Arvato CRM Solutions is a business process outsourcing provider specializing in customer relationship management services such as customer care, technical support, and digital communication for corporate clients.
-
C.
LexLabs
LexLabs is a research and development subsidiary of LexCorp focused on advancing the corporation’s cutting-edge technologies and innovative projects.
-
D.
Algolia
Algolia is a hosted search-as-a-service platform that provides fast, full-text search and discovery APIs for building rich search experiences in web and mobile applications.
-
E.
Acxiom
Acxiom is a global data and marketing technology company known for providing consumer data, analytics, and audience targeting solutions to businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ac5808190a66f9111c350f4dc |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.