Triple
T14439850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velocity templates |
E358056
|
entity |
| Predicate | belongsToEcosystem |
P19967
|
FINISHED |
| Object | Apache Velocity |
E1099049
|
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 Velocity | Statement: [Velocity templates, belongsToEcosystem, Apache Velocity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache Velocity Context triple: [Velocity templates, belongsToEcosystem, Apache Velocity]
-
A.
Apache Velocity
chosen
Apache Velocity is a Java-based template engine that enables developers to generate dynamic web pages, emails, and other text content by merging templates with data.
-
B.
Nednhi Apache
The Nednhi Apache were a nomadic band of the Chiricahua Apache people known for their resistance to Mexican and U.S. expansion in the 19th-century Southwest.
-
C.
Apache Storm
Apache Storm is a distributed real-time computation system designed for processing large streams of data with low latency and high fault tolerance.
-
D.
Apache Struts
Apache Struts is an open-source Java web application framework widely used for building enterprise-grade, MVC-based web applications.
-
E.
VELOCITY
VELOCITY is the radio callsign used by Virgin Australia for its airline operations.
- 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_69fd648d8904819084d720a0fd2ddb4b |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:18 a.m.