Triple
T9925960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDFS |
E187921
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | JournalNode |
E185678
|
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: JournalNode | Statement: [HDFS, hasComponent, JournalNode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JournalNode Context triple: [HDFS, hasComponent, JournalNode]
-
A.
Jepsen
Jepsen is a surname most notably associated with individuals such as display technology innovator Mary Lou Jepsen.
-
B.
Netnod
Netnod is a Swedish internet infrastructure organization that operates critical core services such as internet exchange points, DNS root server instances, and time and frequency distribution.
-
C.
JEP
JEP is a leading peer-reviewed academic journal that publishes accessible, survey-style articles on a wide range of economics topics for both specialists and informed non-specialists.
-
D.
Uzlovaya
Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
-
E.
Apache ZooKeeper
chosen
Apache ZooKeeper is a centralized service for maintaining configuration information, naming, and distributed synchronization in large-scale distributed systems.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb599e32c8190ac676fa89c131bb6 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e143660819097a9fa96365bc25a |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.