Triple
T21192861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eNodeB |
E522252
|
entity |
| Predicate | managedBy |
P86
|
FINISHED |
| Object | OSS |
—
|
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: OSS | Statement: [eNodeB, managedBy, OSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSS Context triple: [eNodeB, managedBy, OSS]
-
A.
OSS
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
-
B.
OSS
OSS is the station code for Ossington station on Toronto's Line 2 Bloor–Danforth subway.
-
C.
OSS
chosen
OSS is a cloud-based object storage service commonly used for scalable, durable storage of large amounts of unstructured data such as backups, media files, and logs.
-
D.
oss
oss is the ISO 639-3 language code for the Ossetian (Iron) language spoken primarily in the Caucasus region.
-
E.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73338dbe881908360dedad65c964b |
completed | April 21, 2026, 8:20 a.m. |
Created at: April 16, 2026, 3:07 p.m.