Triple
T34520221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCON |
E886257
|
entity |
| Predicate | relativeRankWithinOrderOfTheNiger |
P205452
|
FINISHED |
| Object | highest grade |
—
|
LITERAL 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: highest grade | Statement: [GCON, relativeRankWithinOrderOfTheNiger, highest grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeRankWithinOrderOfTheNiger Context triple: [GCON, relativeRankWithinOrderOfTheNiger, highest grade]
-
A.
hasAreaRankInNigeria
Indicates that one entity holds a specific rank in terms of area size within the context of Nigeria.
-
B.
rankInAfricaByLength
Indicates the position of something in an ordered list of African entities sorted by their length (e.g., size, distance, or extent).
-
C.
populationRankInSenegal
Indicates the relative position of an entity in terms of population size compared to other entities within Senegal.
-
D.
borderTypeToNiger
Indicates the type or nature of the border that an entity shares with Niger.
-
E.
NelsonRank
Indicates a ranking or ordered position assigned according to the Nelson ranking system or criteria.
- F. None of above. chosen
Provenance (4 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:02 a.m.