Triple
T2712640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jos |
E59896
|
entity |
| Predicate | countryCapitalStatus |
P25262
|
FINISHED |
| Object | not a national capital |
—
|
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: not a national capital | Statement: [Jos, countryCapitalStatus, not a national capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalStatus Context triple: [Jos, countryCapitalStatus, not a national capital]
-
A.
stateCapitalStatus
Indicates that an entity serves as the official capital city of a specified state or state-level administrative region.
-
B.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
-
C.
cityAsCapitalOf
Indicates that a city serves as the official capital of a specified political or administrative entity.
-
D.
countryCapitalRole
chosen
Indicates that one entity serves as the capital city of a given country, representing its primary administrative or governmental center.
-
E.
countryCapitalContext
Indicates that one entity serves as the capital city of the specified country in a given contextual or temporal setting.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda90d5a88190bcb6caefd8f2dd1b |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.