Triple
T21922216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APS |
E541346
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | APS |
—
|
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: APS | Statement: [APS, name, APS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APS Context triple: [APS, name, APS]
-
A.
APS
APS is the collective term for the federal civil service workforce that supports the Australian Government in developing and implementing national policies and delivering public services.
-
B.
APS
APS (American Physical Society) is a leading professional organization dedicated to advancing and disseminating knowledge of physics through research publications, conferences, education, and advocacy.
-
C.
APS
APS is an organization known for presenting the MGM Award, likely within a professional or academic field.
-
D.
APS
APS is the IATA airport code for Anápolis Air Base, a Brazilian Air Force installation located near Anápolis in the state of Goiás, Brazil.
-
E.
APAS
APAS is a type of androgynous docking mechanism developed for spacecraft to enable compatible, flexible docking between different vehicles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233c29008190b84ae551b14eb2db |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.