Triple
T22374080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QForm |
E553110
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | QSelect |
—
|
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: QSelect | Statement: [QForm, compatibleWith, QSelect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QSelect Context triple: [QForm, compatibleWith, QSelect]
-
A.
XSELECT
XSELECT is a software tool used by astronomers to interactively select, filter, and analyze high-energy astrophysics data from various space-based observatories.
-
B.
Sélection
Sélection is Migros’ premium private-label brand offering high-quality, often gourmet food and specialty products.
-
C.
MatSelect
chosen
MatSelect is an Angular Material UI component that provides a styled, accessible dropdown selection control for Angular applications.
-
D.
SeleQtions
SeleQtions is a distinctive collection of upscale and heritage hotels and resorts operated under the Taj Hotels umbrella.
-
E.
Selectboard
The Selectboard is the elected executive body that oversees local governance, budgeting, and policy decisions in many Vermont towns.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15806b534819083716c2b090ede42 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.