Triple
T25403176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Greece |
E636480
|
entity |
| Predicate | hasCapitalRegionWithin |
P140896
|
FINISHED |
| Object | Attica |
—
|
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: Attica | Statement: [Eastern Greece, hasCapitalRegionWithin, Attica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapitalRegionWithin Context triple: [Eastern Greece, hasCapitalRegionWithin, Attica]
-
A.
hasCapitalRegionRelation
Indicates a relationship where one entity serves as the capital region or administrative capital area of another entity.
-
B.
hasCapitalCityWithin
Indicates that a specified capital city is geographically located within the boundaries of a given region or country.
-
C.
hasProvincialCapitalWithin
Indicates that a province’s official capital city is geographically located within the boundaries of a specified area or region.
-
D.
isInStateCapitalRegionOf
Indicates that one entity is located within the capital region of the state to which the other entity belongs.
-
E.
capitalRegionIncluded
chosen
Indicates that a specified region contains or encompasses the capital area of a given political or administrative entity.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 1:52 p.m.