Triple
T28736119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mano people |
E730803
|
entity |
| Predicate | countryMajority |
P12031
|
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: [Mano people, countryMajority, Liberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryMajority Context triple: [Mano people, countryMajority, Liberia]
-
A.
majorityCountry
chosen
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
B.
countryWithSignificantPopulation
Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
-
C.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
D.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
E.
hasOneOfLargestPopulationsOf
Indicates that the subject possesses or contains among the highest numbers of members or individuals of the specified type compared to others in a given context.
- F. None of above.
Provenance (3 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 28, 2026, 6 a.m.