Triple
T24156760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piotrków Trybunalski |
E598702
|
entity |
| Predicate | wasRoyalCityOf |
P154814
|
FINISHED |
| Object | Kingdom of Poland |
—
|
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: Kingdom of Poland | Statement: [Piotrków Trybunalski, wasRoyalCityOf, Kingdom of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasRoyalCityOf Context triple: [Piotrków Trybunalski, wasRoyalCityOf, Kingdom of Poland]
-
A.
isHistoricalCity
Indicates that a city has historical significance, typically due to its age, past events, or preserved heritage.
-
B.
capitalCityDuringEra
Indicates that a particular city served as the capital of an entity (such as a country or region) during a specified historical era or time period.
-
C.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
D.
papalCoronationCity
Indicates the city where a papal coronation took place.
-
E.
usedToBeSeatOf
Indicates that an entity previously served as the official seat or administrative center of another entity, but no longer holds that status.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e5bdb48190aa2d369942b85220 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:31 p.m.