Triple
T14592640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RGS-IBG |
E342480
|
entity |
| Predicate | publishes |
P80
|
FINISHED |
| Object | Geo: Geography and Environment |
E1108929
|
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: Geo: Geography and Environment | Statement: [RGS-IBG, publishes, Geo: Geography and Environment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geo: Geography and Environment Context triple: [RGS-IBG, publishes, Geo: Geography and Environment]
-
A.
Geo: Geography and Environment
chosen
Geo: Geography and Environment is a peer-reviewed academic journal focusing on research in geography and environmental studies.
-
B.
Geography III
Geography III is a 1976 poetry collection by American poet Elizabeth Bishop, noted for its precise language, autobiographical elements, and exploration of geography, memory, and perception.
-
C.
Geography 2050
Geography 2050 is a forward-looking conference series focused on the future of our planet’s geography, bringing together experts to explore long-term global trends and challenges.
-
D.
Geo
Geo is a short form of the given name Georges, often used as an informal or familiar nickname.
-
E.
Geo
Geo was a defunct General Motors automobile brand from the late 1980s and 1990s that specialized in small, economy cars often built in partnership with foreign manufacturers.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda918542c819099646943be59dd04 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.