Triple
T25800818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrés Ibáñez Province |
E649821
|
entity |
| Predicate | hasCountryLargestCity |
P190473
|
FINISHED |
| Object | Santa Cruz de la Sierra |
—
|
NE NERFINISHED |
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: Santa Cruz de la Sierra | Statement: [Andrés Ibáñez Province, hasCountryLargestCity, Santa Cruz de la Sierra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryLargestCity Context triple: [Andrés Ibáñez Province, hasCountryLargestCity, Santa Cruz de la Sierra]
-
A.
denotesCountryWithLargestCity
Indicates that the subject is a country whose largest city (by population or area) is the specified object.
-
B.
countryLargestCityOfSee
Indicates that a country is associated with the largest city of a specified administrative or geographic entity (such as a region, state, or territory).
-
C.
capitalIsLargestCity
Indicates that the capital city of a region or country is also its most populous or largest city.
-
D.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
E.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 22, 2026, 6:38 a.m.