Triple
T24309927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Tortosa |
E612642
|
entity |
| Predicate | modernCountryOfCity |
P155516
|
FINISHED |
| Object | Syria |
—
|
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: Syria | Statement: [Our Lady of Tortosa, modernCountryOfCity, Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernCountryOfCity Context triple: [Our Lady of Tortosa, modernCountryOfCity, Syria]
-
A.
countryOfCityReferredTo
Indicates that one entity is the country in which the referenced city entity is located.
-
B.
connectsCapitalOf
Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
-
C.
associatedCountryCapital
Indicates that a country is related to, or paired with, its capital city.
-
D.
linksCapitalOf
Indicates that one entity serves as the capital city of another entity, typically a country, state, or region.
-
E.
modernCountryCapitalOfRegion
Indicates that a modern country serves as the capital or primary governing center of a specified region.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29229af3c8190950b70fe5a8dbf6f |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:33 a.m.