Triple
T14440852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache Lucene |
E358078
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Apache Lucene project |
E358078
|
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: Apache Lucene project | Statement: [Apache Lucene, partOf, Apache Lucene project]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache Lucene project Context triple: [Apache Lucene, partOf, Apache Lucene project]
-
A.
Apache Lucene
chosen
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.
-
B.
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.
-
C.
Jetpack Search
Jetpack Search is a powerful WordPress search enhancement tool that provides fast, relevant, and customizable search results for websites using the Jetpack plugin.
-
D.
Elasticsearch
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.
-
E.
Apache ORC project
The Apache ORC project is an open-source initiative that develops the Optimized Row Columnar (ORC) file format for efficient, high-performance storage and processing of large-scale data in big data ecosystems.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.