Triple
T24558822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sipaliwini District |
E607597
|
entity |
| Predicate | areaRankInSuriname |
P156318
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sipaliwini District, areaRankInSuriname, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInSuriname Context triple: [Sipaliwini District, areaRankInSuriname, 1]
-
A.
statusInSuriname
Indicates the legal, social, or official standing or condition that an entity holds within the context of Suriname.
-
B.
populationRankInVenezuela
Indicates the relative position of an entity in terms of population size compared to other entities within Venezuela.
-
C.
populationRankInBolivia
Indicates the relative position of an entity in terms of population size compared to other entities within Bolivia.
-
D.
rankByAreaInCaribbean
Indicates the relative ordering of entities based on their area size specifically within the Caribbean region.
-
E.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f4af6481908576473adab9f6bf |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:27 a.m.