Triple
T1580282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. John’s Cathedral, Taipei |
E33746
|
entity |
| Predicate | isInCapital |
P5025
|
FINISHED |
| Object | capital city of Taiwan |
—
|
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: capital city of Taiwan | Statement: [St. John’s Cathedral, Taipei, isInCapital, capital city of Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCapital Context triple: [St. John’s Cathedral, Taipei, isInCapital, capital city of Taiwan]
-
A.
locatedInCapital
chosen
Indicates that an entity is situated within the capital city of a specified region, country, or administrative area.
-
B.
containsCapitalOf
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
C.
isDistrictCapitalOf
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
D.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
E.
isNationalAdministrativeCenter
Indicates that a location serves as the primary administrative or governmental center for a nation.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.