Triple
T32983909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukidnon Province |
E843884
|
entity |
| Predicate | largestCityByArea |
P175459
|
FINISHED |
| Object | Malaybalay City |
—
|
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: Malaybalay City | Statement: [Bukidnon Province, largestCityByArea, Malaybalay City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestCityByArea Context triple: [Bukidnon Province, largestCityByArea, Malaybalay City]
-
A.
largestMunicipalityByArea
Indicates that the subject is the municipality with the greatest land area within the specified region or set of municipalities.
-
B.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
C.
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).
-
D.
capitalCityAreaOf
Indicates that one entity is the geographic area covered by the capital city of another entity.
-
E.
largestByPopulationIn
Indicates that an entity is the one with the greatest population among all entities within a specified area or group.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1de907c8190b1f2ac83c982bfff |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:22 a.m.