Triple
T7886362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuestra Señora de La Paz |
E183112
|
entity |
| Predicate | populationRankInBolivia |
P79566
|
FINISHED |
| Object | one of the largest cities in Bolivia |
—
|
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: one of the largest cities in Bolivia | Statement: [Nuestra Señora de La Paz, populationRankInBolivia, one of the largest cities in Bolivia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInBolivia Context triple: [Nuestra Señora de La Paz, populationRankInBolivia, one of the largest cities in Bolivia]
-
A.
statusInBolivia
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Bolivia.
-
B.
populationRankInVenezuela
Indicates the relative position of an entity in terms of population size compared to other entities within Venezuela.
-
C.
rankByAreaInChile
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Chile.
-
D.
hasPopulationRankInChile
Indicates the relative position of an entity in the ordered ranking of populations within Chile.
-
E.
populationRankInMexico
Indicates the relative position of an entity in terms of population size compared to other entities within Mexico.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d7e6308190b5a554385e83ff0d |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:59 p.m.