Triple
T37922466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop of Olmütz |
E946000
|
entity |
| Predicate | seatCityModernName |
P153035
|
FINISHED |
| Object | Olomouc |
—
|
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: Olomouc | Statement: [Archbishop of Olmütz, seatCityModernName, Olomouc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatCityModernName Context triple: [Archbishop of Olmütz, seatCityModernName, Olomouc]
-
A.
centerCityModernName
chosen
Indicates that the object is the current or modern name of the city that serves as the center or capital associated with the subject.
-
B.
homeCityIsSeatOf
Indicates that the person’s home city serves as the administrative or governmental seat (e.g., capital) of a larger region such as a state, province, or country.
-
C.
cityIs
Indicates that one entity is a city associated with, or identified as, another entity.
-
D.
cityName
Indicates that the associated value is the name of a city.
-
E.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.