Triple
T36689864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish population transfers after World War II |
E905925
|
entity |
| Predicate | estimatedNumberOfPolesResettledFromEast |
P187009
|
FINISHED |
| Object | about 1.5 million |
—
|
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: about 1.5 million | Statement: [Polish population transfers after World War II, estimatedNumberOfPolesResettledFromEast, about 1.5 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfPolesResettledFromEast Context triple: [Polish population transfers after World War II, estimatedNumberOfPolesResettledFromEast, about 1.5 million]
-
A.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
B.
hasPoleAt
Indicates that one entity possesses, contains, or is associated with a pole located at a specific point or position.
-
C.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
D.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
E.
meetsAtPolesWith
Indicates that two entities intersect or come into contact specifically at their polar regions or endpoints.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.