Triple
T25628415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poniatowa |
E642503
|
entity |
| Predicate | hasGermanOccupationFunction |
P166127
|
FINISHED |
| Object | industrial labor center |
—
|
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: industrial labor center | Statement: [Poniatowa, hasGermanOccupationFunction, industrial labor center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGermanOccupationFunction Context triple: [Poniatowa, hasGermanOccupationFunction, industrial labor center]
-
A.
germanOccupationAuthority
Indicates that an entity functioned as an authority or administrative body in charge during the German occupation of a territory.
-
B.
wasUnderGermanRuleAtBirthOf
Indicates that the subject’s place of birth was under German political or administrative control at the time of the object’s birth.
-
C.
wasOccupiedDuringWar
Indicates that a place or territory was under military or foreign control for some period during a specified war.
-
D.
countryDuringGermanRule
Indicates that one entity functioned as a country or territorial unit during a period when it was under German rule or control.
-
E.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 21, 2026, 5:16 p.m.