Triple
T22444067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LoopBack |
E554821
|
entity |
| Predicate | version |
P3286
|
FINISHED |
| Object | LoopBack 3 |
—
|
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: LoopBack 3 | Statement: [LoopBack, version, LoopBack 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LoopBack 3 Context triple: [LoopBack, version, LoopBack 3]
-
A.
LoopBack
chosen
LoopBack is an open-source Node.js framework for building APIs and connecting them to backend data sources.
-
B.
StrongLoop
StrongLoop is a software company best known for its work on Node.js tools and frameworks, including previously maintaining the popular Express.js web application framework.
-
C.
Loop 303
Loop 303 is a major freeway in the Phoenix metropolitan area that serves as part of the region’s outer beltway system, facilitating circumferential travel and suburban growth.
-
D.
Loop 101
Loop 101 is a major freeway encircling much of the Phoenix metropolitan area, connecting numerous suburbs and serving as a key route for regional traffic.
-
E.
Loop 336
Loop 336 is a major circumferential roadway that serves as a key traffic artery around the city of Conroe, Texas.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae517208190924a7968723f55ef |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.