Triple
T32623095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buchanan |
E833980
|
entity |
| Predicate | isSecondLevelCityIn |
P174944
|
FINISHED |
| Object | Liberia |
—
|
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: Liberia | Statement: [Buchanan, isSecondLevelCityIn, Liberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondLevelCityIn Context triple: [Buchanan, isSecondLevelCityIn, Liberia]
-
A.
isCity
Indicates that the subject entity is classified as a city.
-
B.
hasSecondaryCity
Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
-
C.
isSecondMostPopulousCityIn
Indicates that a city is the second most populous city within a specified larger region or country.
-
D.
isCityOf
Indicates that one entity is a city that belongs to, is located within, or is administratively part of another entity (such as a country, state, or region).
-
E.
isSuburbanCityOf
Indicates that one city is a suburban municipality that is part of, or closely associated with, a larger primary city or metropolitan area.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1:06 a.m.