Triple
T17500185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trino |
E426164
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Elasticsearch |
—
|
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: Elasticsearch | Statement: [Trino, supports, Elasticsearch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elasticsearch Context triple: [Trino, supports, Elasticsearch]
-
A.
Elasticsearch
chosen
Elasticsearch is a distributed, RESTful search and analytics engine built on Apache Lucene, widely used for full-text search, log analytics, and real-time data exploration.
-
B.
Elastica
Elastica was a British alternative rock band closely associated with the Britpop movement of the 1990s, known for their sharp, hook-driven songs and influential self-titled debut album.
-
C.
Apache Solr
Apache Solr is an open-source enterprise search platform built on Apache Lucene, widely used for full-text search, faceted navigation, and real-time indexing of large-scale data.
-
D.
Apache Lucene
Apache Lucene is a high-performance, full-featured text search engine library written in Java and widely used as the core indexing and search technology in many applications and search platforms.
-
E.
Amazon OpenSearch Service
Amazon OpenSearch Service is a fully managed service from AWS for deploying, operating, and scaling OpenSearch and Elasticsearch-compatible search and analytics clusters in the cloud.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.