Triple
T26537637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | southern Tunisia |
E671291
|
entity |
| Predicate | countryCapitalDirection |
P185292
|
FINISHED |
| Object | south of Tunis |
—
|
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: south of Tunis | Statement: [southern Tunisia, countryCapitalDirection, south of Tunis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalDirection Context triple: [southern Tunisia, countryCapitalDirection, south of Tunis]
-
A.
geographicDirectionFromRegionalCapital
Indicates the cardinal or intercardinal direction in which a place is located relative to its regional capital.
-
B.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
C.
countryCapitalLocatedIn
Indicates that the capital city of a country is geographically situated within that country.
-
D.
countryCapitalLocatedOn
Indicates that the capital city of a country is situated on or directly adjacent to a specified geographic feature (such as a river, coast, or lake).
-
E.
stateCapitalDirectionFrom
Indicates the cardinal or relative direction of a state’s capital city from a specified reference location.
- 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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 27, 2026, 1:39 a.m.