Triple
T17805151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poston War Relocation Center |
E444536
|
entity |
| Predicate | inmatesIncluded |
P57303
|
FINISHED |
| Object | U.S. citizens of Japanese ancestry |
—
|
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: U.S. citizens of Japanese ancestry | Statement: [Poston War Relocation Center, inmatesIncluded, U.S. citizens of Japanese ancestry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmatesIncluded Context triple: [Poston War Relocation Center, inmatesIncluded, U.S. citizens of Japanese ancestry]
-
A.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
B.
hasPrisoners
chosen
Indicates that an entity holds or contains one or more individuals who are imprisoned or detained.
-
C.
imprisonedWith
Indicates that two entities are confined or held in prison together at the same time and place.
-
D.
estimatedPrisonerCount
Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
-
E.
detainedPrisonersFrom
Indicates that an authority is holding prisoners who originate from or are associated with a specified place or source.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:14 a.m.