Triple
T5212417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memel |
E117663
|
entity |
| Predicate | presentDayCityNameScript |
P62061
|
FINISHED |
| Object | Latin alphabet |
—
|
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: Latin alphabet | Statement: [Memel, presentDayCityNameScript, Latin alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayCityNameScript Context triple: [Memel, presentDayCityNameScript, Latin alphabet]
-
A.
currentCityName
Indicates the name of the city where the entity is currently located.
-
B.
presentDayMunicipality
Indicates that one entity is the current-day municipality encompassing or corresponding to the area or jurisdiction of another (typically historical) entity.
-
C.
capitalPresentDayLocation
Indicates that the predicate specifies the present-day geographic location of a capital city.
-
D.
presentDayProvince
Indicates that one entity is the present-day administrative province in which the other entity is currently located or to which it now belongs.
-
E.
cityName
Indicates that the associated value is the name of a city.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a730e6c8190ae6082da41ee592a |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79000cf88190b3c05d95395b0cd2 |
completed | March 20, 2026, 4:42 p.m. |
Created at: March 20, 2026, 1:47 p.m.