Triple
T12056453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden Route National Park |
E287054
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GRNP
GRNP is a South African national park along the Garden Route famed for its indigenous forests, dramatic coastline, and rich biodiversity.
|
E961635
|
NE FINISHED |
How this triple was built (4 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: GRNP | Statement: [Garden Route National Park, abbreviation, GRNP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRNP Context triple: [Garden Route National Park, abbreviation, GRNP]
-
A.
GRN
GRN is the standard abbreviation used for the Greenville Swamp Rabbits, a professional minor league ice hockey team in the ECHL.
-
B.
GNA
GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
-
C.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
-
D.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
E.
GNR
GNR is the Portuguese National Republican Guard, a national gendarmerie force responsible for public security, law enforcement, and rural policing across much of Portugal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GRNP Triple: [Garden Route National Park, abbreviation, GRNP]
Generated description
GRNP is a South African national park along the Garden Route famed for its indigenous forests, dramatic coastline, and rich biodiversity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GRNP Target entity description: GRNP is a South African national park along the Garden Route famed for its indigenous forests, dramatic coastline, and rich biodiversity.
-
A.
GRN
GRN is the standard abbreviation used for the Greenville Swamp Rabbits, a professional minor league ice hockey team in the ECHL.
-
B.
GNA
GNA is the acronym for the Argentine National Gendarmerie, a federal security force responsible for border protection, rural security, and supporting national law enforcement in Argentina.
-
C.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
-
D.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
E.
GNR
GNR is the Portuguese National Republican Guard, a national gendarmerie force responsible for public security, law enforcement, and rural policing across much of Portugal.
- F. None of above. chosen
Provenance (5 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.