Triple
T32506221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passenheim |
E830802
|
entity |
| Predicate | currentCountryOfTown |
P17888
|
FINISHED |
| Object | 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: Poland | Statement: [Passenheim, currentCountryOfTown, Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCountryOfTown Context triple: [Passenheim, currentCountryOfTown, Poland]
-
A.
modernCountryOfCity
Indicates that a city is located within the borders of a specified modern-day country.
-
B.
countryCurrently
Indicates that an entity is presently located in or associated with a specific country.
-
C.
currentLocationCountry
chosen
Indicates that one entity is the country in which another entity is currently located.
-
D.
mainCountry
Indicates that one country is the primary or most significant country associated with a given entity or context.
-
E.
currentCountrySince
Indicates the date or point in time since which an entity has been in its current country (such as residence, operation, or affiliation).
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 1 a.m.