Triple
T3484018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marta Helena Skowrońska |
E73563
|
entity |
| Predicate | birthPlaceContext |
P21703
|
FINISHED |
| Object | born to a poor family of Lithuanian or Latvian origin |
—
|
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: born to a poor family of Lithuanian or Latvian origin | Statement: [Marta Helena Skowrońska, birthPlaceContext, born to a poor family of Lithuanian or Latvian origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthPlaceContext Context triple: [Marta Helena Skowrońska, birthPlaceContext, born to a poor family of Lithuanian or Latvian origin]
-
A.
placeOfBirth
Indicates the location where a person or other entity was born.
-
B.
placeOfUpbringing
Indicates the location where an individual was raised or spent most of their formative years.
-
C.
allegedBirthRegion
chosen
Indicates the region where an entity is claimed or reported to have been born, without asserting that this birthplace is verified as fact.
-
D.
birthPlaceOfChildren
Indicates the location where a person's children were born.
-
E.
residenceOfParentsAtTimeOfBirth
Indicates the place where a person's parents were living at the time of that person's birth.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb795db88190805b26d9774fdb73 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.