Triple
T3260638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jini |
E68399
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Apache River |
E342809
|
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 River | Statement: [Jini, relatedTo, Apache River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apache River Context triple: [Jini, relatedTo, Apache River]
-
A.
Apache River
chosen
Apache River is an open-source implementation of the Jini network technology, providing a framework for building distributed, service-oriented systems in Java.
-
B.
The Hydro
The Hydro is a major indoor arena in Glasgow, Scotland, renowned for hosting large-scale concerts and entertainment events.
-
C.
River Ravernet
River Ravernet is a small river in County Down, Northern Ireland, known for flowing through rural landscapes before joining the River Lagan.
-
D.
Ai River
Ai River is a river located in Japan’s Ibaraki Prefecture.
-
E.
Trent
The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa673a481909b5024b4e0e1c2a7 |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e8369b708190aeddf21dd9440d6a |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:09 p.m.