Triple
T14281104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNR |
E354048
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | GNR |
E354048
|
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: GNR | Statement: [GNR, shortName, GNR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNR Context triple: [GNR, shortName, GNR]
-
A.
GNR
chosen
GNR is the Portuguese National Republican Guard, a national gendarmerie force responsible for public security, law enforcement, and rural policing across much of Portugal.
-
B.
GRN
GRN is the standard abbreviation used for the Greenville Swamp Rabbits, a professional minor league ice hockey team in the ECHL.
-
C.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
D.
YNAR
YNAR is the ICAO airport code assigned to Narrandera Airport in New South Wales, Australia.
-
E.
GRNP
GRNP is a South African national park along the Garden Route famed for its indigenous forests, dramatic coastline, and rich biodiversity.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697b5e8081908e5b91a3a1c55df9 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1884f481908ea266c1651c4b59 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:10 a.m.