Triple
T4792212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidice massacre |
E106628
|
entity |
| Predicate | numberOfWomenDeported |
P31406
|
FINISHED |
| Object | over 190 |
—
|
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: over 190 | Statement: [Lidice massacre, numberOfWomenDeported, over 190]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWomenDeported Context triple: [Lidice massacre, numberOfWomenDeported, over 190]
-
A.
estimatedNumberOfPeopleDeported
chosen
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
B.
deportedUnder
Indicates that an entity was deported in accordance with, or by authority of, a specific law, policy, program, or legal provision.
-
C.
deportedTo
Indicates that an authority forcibly removed a person from one place or country and sent them to another specified destination.
-
D.
deportedBy
Indicates that an entity was expelled or removed from a country or territory by a specific authority, agent, or organization.
-
E.
deportedFrom
Indicates that an authority has expelled an entity from a particular place or country, forcing their departure from that location.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.