Triple
T19586847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java EE 5 |
E490126
|
entity |
| Predicate | includesSpecification |
P19701
|
FINISHED |
| Object | JTA 1.1 |
—
|
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: JTA 1.1 | Statement: [Java EE 5, includesSpecification, JTA 1.1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JTA 1.1 Context triple: [Java EE 5, includesSpecification, JTA 1.1]
-
A.
JTA
JTA is the ICAO airline designator for Japan Transocean Air, a regional carrier based in Okinawa, Japan.
-
B.
JTA
chosen
JTA (Java Transaction API) is a Java specification that provides a standard interface for managing distributed transactions across multiple resources in enterprise applications.
-
C.
JTA
JTA is a regional public transit agency that operates bus and related transportation services for the Jackson, Michigan area.
-
D.
JTA
JTA is the public transit brand of the Jacksonville Transportation Authority, providing bus, rapid transit, and related transportation services in Jacksonville, Florida.
-
E.
Jakarta Enterprise Beans
Jakarta Enterprise Beans is a Jakarta EE server-side component architecture that simplifies the development of transactional, secure, and scalable business logic in Java enterprise applications.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e640523d10819091320a61456f6437 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.