Triple
T27091229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Walk to Bosque Redondo |
E686172
|
entity |
| Predicate | estimatedNumberOfDeported |
P31406
|
FINISHED |
| Object | 8000 |
—
|
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: 8000 | Statement: [Long Walk to Bosque Redondo, estimatedNumberOfDeported, 8000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfDeported Context triple: [Long Walk to Bosque Redondo, estimatedNumberOfDeported, 8000]
-
A.
estimatedNumberOfPeopleDeported
chosen
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
B.
deportedPopulation
Indicates that a group of people was forcibly removed and sent out of a territory or country, typically by an authority or government.
-
C.
numberOfChildrenDeported
Indicates the count of children who have been forcibly removed and sent away from their home or country.
-
D.
deportedUnder
Indicates that an entity was deported in accordance with, or by authority of, a specific law, policy, program, or legal provision.
-
E.
deportedTo
Indicates that an authority forcibly removed a person from one place or country and sent them to another specified destination.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 8:40 a.m.